magnet:?xt=urn:btih:73D148BFBCC8D363E9246CE04E844FCCB004B567
Part 1/001. Introduction to Python Fundamentals Part 1.mp4 190.3 MBPart 4/Lesson 12 Data Mining Twitter/032. Getting and Mapping the Tweets.mp4 104.5 MBPart 3/001. Introduction to Python Fundamentals Part 3.mp4 94.4 MBPart 4/001. Introduction to Python Fundamentals Part 4.mp4 90.4 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/001. Lesson 16 Overview Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT.mp4 86.7 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/024. Streaming Tweets into MongoDB.mp4 84.1 MBPart 2/Lesson 06 Dictionaries and Sets/027. Intro to Data Science Dynamic Visualizations--Implementing Dynamic Visualization, Part 1.mp4 78.7 MBPart 4/Lesson 12 Data Mining Twitter/030. Tweet Sentiment Analysis.mp4 73.5 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/041. Summarizing Tweet Hashtags; Introducing Spark SQL.mp4 72.7 MBPart 5/Lesson 15 Deep Learning/040. Visualizing Neural Network Training with TensorBoard.mp4 72.5 MBPart 2/001. Introduction to Python Fundamentals Part 2.mp4 67.1 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/001. Lesson 14 Overview Machine Learning Classification, Regression and Clustering.mp4 64.5 MBPart 1/Lesson 02 Intro to Python Programming/012. Decision Making The if Statement and Comparison Operators.mp4 64.1 MBPart 3/Lesson 10 Object-Oriented Programming/007. Properties for Data Access--Class Time Definition.mp4 63.1 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/038. Spark Word Count on Microsoft Azure.mp4 61.6 MBPart 5/Lesson 15 Deep Learning/001. Lesson 15 Overview Deep Learning.mp4 60.9 MBPart 3/Lesson 10 Object-Oriented Programming/001. Lesson 10 Overview Object-Oriented Programming.mp4 59.7 MBPart 1/Lesson 04 Functions/008. Case Study A Game of Chance.mp4 59.0 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/036. Docker and the Jupyter Docker Stacks.mp4 56.5 MBPart 1/Lesson 01 Test-Drives Using IPython and Jupyter Notebooks/004. Writing and Executing Code in a Jupyter Notebook.mp4 56.3 MBPart 3/Lesson 10 Object-Oriented Programming/014. Case Study Card Shuffling and Dealing Simulation--Displaying Card Images with Matplotlib.mp4 56.1 MBPart 3/Lesson 10 Object-Oriented Programming/031. Unit Testing with Docstrings and doctest.mp4 55.5 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/037. Word Count with Spark.mp4 54.3 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/035. Visualizing the Features.mp4 54.0 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/002. Introduction to Machine Learning.mp4 53.3 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/046. Creating a Python PubNub Subscriber.mp4 50.4 MBPart 4/Lesson 11 Natural Language Processing/001. Lesson 11 Overview Natural Language Processing (NLP).mp4 50.2 MBPart 1/Lesson 03 Control Statements/017. Using Type Decimal for Monetary Amounts.mp4 49.4 MBPart 4/Lesson 12 Data Mining Twitter/027. Creating a Subclass of StreamListener.mp4 48.3 MBPart 4/Lesson 12 Data Mining Twitter/033. Utility Functions in tweetutilities.py and Class LocationListener.mp4 46.8 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/045. Simulating an Internet-Connected Thermostat in Python and Creating a Dashbboard in Freeboard.io.mp4 46.5 MBPart 2/Lesson 05 Sequences Lists and Tuples/026. Filter, Map and Reduce.mp4 45.2 MBPart 1/Lesson 04 Functions/002. Defining Functions.mp4 44.8 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/034. Running the MapReduce Job.mp4 43.6 MBPart 3/Lesson 10 Object-Oriented Programming/003. Custom Class Account--Account Class Definition.mp4 43.2 MBPart 2/Lesson 05 Sequences Lists and Tuples/002. Lists.mp4 42.9 MBPart 4/Lesson 12 Data Mining Twitter/009. Getting Information About a Twitter Account.mp4 42.3 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/029. Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight Part 2.mp4 41.8 MBPart 2/Lesson 05 Sequences Lists and Tuples/036. Visualizing Die-Roll Frequencies and Percentages--Part 3.mp4 41.4 MBPart 2/Lesson 05 Sequences Lists and Tuples/035. Visualizing Die-Roll Frequencies and Percentages--Part 2.mp4 39.6 MBPart 1/Lesson 02 Intro to Python Programming/016. Intro to Data Science Basic Descriptive Statistics.mp4 39.5 MBPart 4/Lesson 12 Data Mining Twitter/028. Initiating Stream Processing.mp4 39.3 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/040. Streaming Tweets to a Socket.mp4 39.2 MBPart 3/Lesson 10 Object-Oriented Programming/018. Building an Inheritance Hierarchy and Introducing Polymorphism--Sublass SalariedCommissionEmployee.mp4 37.9 MBPart 4/Lesson 11 Natural Language Processing/018. Visualizing Word Frequencies with Pandas.mp4 37.6 MBPart 1/Lesson 02 Intro to Python Programming/002. Variables and Assignment Statements.mp4 36.7 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/008. A books Database.mp4 36.5 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/009. List vs. array Performance Introducing timeit.mp4 36.0 MBPart 4/Lesson 12 Data Mining Twitter/003. Overview of the Twitter APIs.mp4 35.9 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/022. SimpleLanguageTranslator.py Script Walkthrough Main Program Function run translator.mp4 35.6 MBPart 1/Lesson 01 Test-Drives Using IPython and Jupyter Notebooks/002. Using IPython Interactive Mode as a Calculator.mp4 35.6 MBPart 4/Lesson 12 Data Mining Twitter/017. Searching Recent Tweets.mp4 35.0 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/023. SimpleLanguageTranslator.py Script Walkthrough Function speech to text.mp4 34.3 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/054. Dimensionality Reduction with Principal Component Analysis.mp4 34.2 MBPart 3/Lesson 10 Object-Oriented Programming/012. Case Study Card Shuffling and Dealing Simulation--Class Card and an Introduction to Class Attributes.mp4 34.1 MBPart 3/Lesson 10 Object-Oriented Programming/033. Namespaces and Scopes.mp4 33.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/052. Visualizing the Dataset with a Seaborn pairplot.mp4 33.0 MBPart 3/Lesson 09 Files and Exceptions/001. Lesson 09 Overview Files and Exceptions; Pandas, CSV Files and Simple Data Analysis.mp4 32.8 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/044. Visualizing a PubNub Sample Live Stream with a Freeboard Dashboard.mp4 32.8 MBPart 4/Lesson 12 Data Mining Twitter/006. What's in a Tweet.mp4 32.7 MBPart 2/Lesson 05 Sequences Lists and Tuples/004. Tuples.mp4 32.2 MBPart 1/Lesson 01 Test-Drives Using IPython and Jupyter Notebooks/001. Lesson 01 Overview Test-Drives Using IPython and Jupyter Notebooks.mp4 31.8 MBPart 3/Lesson 10 Object-Oriented Programming/027. A Brief Intro to Python 3.7's New Data Classes--Creating a Card Data Class.mp4 31.5 MBPart 5/Lesson 15 Deep Learning/045. Movie Review Encodings and Decoding a Review.mp4 31.5 MBPart 2/Lesson 05 Sequences Lists and Tuples/034. Visualizing Die-Roll Frequencies and Percentages--Part 1.mp4 31.0 MBPart 3/Lesson 10 Object-Oriented Programming/017. Building an Inheritance Hierarchy and Introducing Polymorphism--Base Class CommissionEmployee.mp4 31.0 MBPart 1/Lesson 03 Control Statements/014. Sentinel-Controlled Iteration.mp4 30.4 MBPart 2/Lesson 05 Sequences Lists and Tuples/006. Unpacking Sequences.mp4 30.2 MBPart 4/Lesson 11 Natural Language Processing/019. Visualizing Word Frequencies with Word Clouds.mp4 30.2 MBPart 2/Lesson 06 Dictionaries and Sets/001. Lesson 06 Overview Dictionaries and Sets.mp4 30.0 MBPart 2/Lesson 05 Sequences Lists and Tuples/037. Visualizing Die-Roll Frequencies and Percentages--Part 4.mp4 30.0 MBPart 2/Lesson 05 Sequences Lists and Tuples/019. Other List Methods.mp4 29.9 MBPart 1/Lesson 04 Functions/016. Scope Rules.mp4 29.4 MBPart 1/Lesson 04 Functions/022. Intro to Data Science Measures of Dispersion.mp4 29.3 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/026. SimpleLanguageTranslator.py Script Walkthrough Function record audio.mp4 29.2 MBPart 3/Lesson 10 Object-Oriented Programming/034. Intro to Data Science Time Series and Simple Linear Regression--Introduction.mp4 29.1 MBPart 1/Lesson 04 Functions/006. Random-Number Generation.mp4 28.6 MBPart 1/Lesson 02 Intro to Python Programming/004. Arithmetic.mp4 28.4 MBPart 4/Lesson 12 Data Mining Twitter/001. Lesson 12 Overview Data Mining Twitter.mp4 28.2 MBPart 1/Lesson 03 Control Statements/012. Sequence-Controlled Iteration.mp4 28.0 MBPart 1/Lesson 02 Intro to Python Programming/001. Lesson 02 Overview Intro to Python Programming.mp4 27.6 MBPart 1/Lesson 03 Control Statements/008. for Statement; Iterables, Lists and Iterators; Built-in range Function.mp4 27.4 MBPart 4/Lesson 12 Data Mining Twitter/012. Determining an Account's Followers.mp4 27.2 MBPart 1/Lesson 04 Functions/001. Lesson 04 Overview Functions.mp4 27.2 MBPart 3/Lesson 09 Files and Exceptions/017. try Statements.mp4 27.2 MBPart 1/Lesson 03 Control Statements/001. Lesson 03 Overview Control Statements.mp4 27.1 MBPart 5/Lesson 15 Deep Learning/007. Custom Anaconda Environments.mp4 26.9 MBPart 1/Lesson 02 Intro to Python Programming/010. Getting Input from the User.mp4 26.3 MBPart 1/Lesson 03 Control Statements/004. if...else and if...elif...else Statements.mp4 26.3 MBPart 4/Lesson 11 Natural Language Processing/003. TextBlob.mp4 26.0 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/022. Running Multiple Models to Find the Best One.mp4 25.9 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/023. Creating the MongoDB Atlas Cluster.mp4 25.9 MBPart 4/Lesson 11 Natural Language Processing/022. Similarity Detection with spaCy.mp4 25.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/003. Case Study Classification with k-Nearest Neighbors and the Digits Dataset, Part 1.mp4 25.6 MBPart 1/Lesson 02 Intro to Python Programming/006. Function print and an Intro to Single- and Double-Quoted Strings.mp4 25.5 MBPart 5/Lesson 15 Deep Learning/033. Training and Evaluating the Model.mp4 25.2 MBPart 2/Lesson 05 Sequences Lists and Tuples/001. Lesson 05 Overview Sequences--Lists and Tuples.mp4 25.1 MBPart 3/Lesson 10 Object-Oriented Programming/013. Case Study Card Shuffling and Dealing Simulation--Class DeckOfCards.mp4 25.0 MBPart 4/Lesson 12 Data Mining Twitter/021. Getting a List of Trending Topics.mp4 24.9 MBPart 1/Lesson 03 Control Statements/022. Intro to Data Science Measures of Central Tendency--Mean, Median and Mode.mp4 24.8 MBPart 5/Lesson 15 Deep Learning/015. Visualizing Digits.mp4 24.3 MBPart 1/Lesson 04 Functions/004. Functions with Multiple Parameters.mp4 24.2 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/001. Lesson 07 Overview Array-Oriented Programming with Numpy; Intro to Pandas.mp4 24.2 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/026. Hadoop Overview.mp4 24.0 MBPart 2/Lesson 06 Dictionaries and Sets/012. Example Word Counts.mp4 24.0 MBPart 5/Lesson 15 Deep Learning/021. Convolution.mp4 23.8 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/039. Visualizing the Expected vs. Predicted Prices.mp4 23.7 MBPart 5/Lesson 15 Deep Learning/013. Loading the MNIST Dataset.mp4 23.5 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/055. Choosing the Best Clustering Estimator.mp4 23.2 MBPart 2/Lesson 05 Sequences Lists and Tuples/027. Self Check.mp4 23.1 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/011. Visualizing the Data.mp4 23.1 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/033. Preparing to Run the MapReduce Example.mp4 23.1 MBPart 2/Lesson 06 Dictionaries and Sets/026. Intro to Data Science Dynamic Visualizations--Using Simulation and Dynamic Visualization to Demonstrate the Law of Large Numbers.mp4 23.0 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/012. Splitting the Data for Training and Testing.mp4 22.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/041. Choosing the Best Model.mp4 22.6 MBPart 2/Lesson 05 Sequences Lists and Tuples/017. Searching Sequences.mp4 22.5 MBPart 2/Lesson 05 Sequences Lists and Tuples/028. Other Sequence Processing Functions.mp4 22.4 MBPart 3/Lesson 10 Object-Oriented Programming/004. Self Check.mp4 22.4 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/033. Loading the Dataset.mp4 22.4 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/034. Exploring the Data with Pandas.mp4 22.4 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/021. K-Fold Cross-Validation.mp4 22.1 MBPart 5/Lesson 15 Deep Learning/002. Introduction.mp4 22.1 MBPart 3/Lesson 09 Files and Exceptions/023. Intro to Data Science Working with CSV Files--Python Standard Library Module csv.mp4 21.8 MBPart 1/Lesson 04 Functions/019. Passing Arguments to Functions A Deeper Look.mp4 21.5 MBPart 3/Lesson 08 Strings--A Deeper Look/001. Lesson 08 Overview Strings--A Deeper Look; Pandas, Regular Expressions and Data Munging.mp4 21.5 MBPart 4/Lesson 11 Natural Language Processing/015. Getting Definitions, Synonyms and Antonyms from WordNet.mp4 21.4 MBPart 3/Lesson 10 Object-Oriented Programming/023. Class Complex Definition.mp4 21.3 MBPart 4/Lesson 11 Natural Language Processing/006. Parts-of-Speech Tagging.mp4 21.2 MBPart 3/Lesson 08 Strings--A Deeper Look/041. Intro to Data Science Pandas, Regular Expressions and Data Munging Part 4 Reformatting Your Data.mp4 21.1 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/039. Spark Streaming Counting Twitter Hashtags Using the pysparknotebook Docker Stack.mp4 21.1 MBPart 1/Lesson 03 Control Statements/002. if Statement.mp4 21.1 MBPart 1/Lesson 01 Test-Drives Using IPython and Jupyter Notebooks/003. Executing a Python Program Using the IPython Interpreter.mp4 21.0 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/035. Spark Overview.mp4 20.9 MBPart 2/Lesson 06 Dictionaries and Sets/006. Basic Dictionary Operarations.mp4 20.9 MBPart 4/Lesson 11 Natural Language Processing/021. Named Entity Recognition with spaCy.mp4 20.9 MBPart 3/Lesson 10 Object-Oriented Programming/002. Custom Class Account--Test-Driving Class Account.mp4 20.8 MBPart 4/Lesson 12 Data Mining Twitter/031. Geocoding and Mapping.mp4 20.6 MBPart 3/Lesson 09 Files and Exceptions/026. Intro to Data Science Working with CSV Files--Reading the Titanic Disaster Dataset.mp4 20.6 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/023. Hyperparameter Tuning.mp4 20.6 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/004. array Attributes.mp4 20.5 MBPart 5/Lesson 15 Deep Learning/041. ConvnetJS Browser-Based Deep-Learning Training and Visualization.mp4 20.4 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/024. SimpleLanguageTranslator.py Script Walkthrough Function translate.mp4 20.4 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/048. Visualizing the Reduced Data in 3D.mp4 20.4 MBPart 5/Lesson 15 Deep Learning/008. Neural Networks.mp4 20.2 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/002. Introduction to Watson.mp4 20.2 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/005. Watson Services Visual Recognition.mp4 20.1 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/051. Exploring the Iris Dataset Descriptive Statistics with Pandas.mp4 19.9 MBPart 2/Lesson 05 Sequences Lists and Tuples/009. Sequence Slicing Part 1 Getting a Subset of a Sequence.mp4 19.9 MBPart 2/Lesson 06 Dictionaries and Sets/008. Dictionary Methods keys and values.mp4 19.5 MBPart 5/Lesson 15 Deep Learning/052. Training and Evaluating the Model (1 of 2).mp4 19.4 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/027. Intro to Data Science pandas Series and DataFrames--pandas Series Part 1.mp4 19.1 MBPart 3/Lesson 10 Object-Oriented Programming/019. Building an Inheritance Hierarchy and Introducing Polymorphism--Processing CommissionEmployees and SalariedCommissionEmployees Polymorphically.mp4 19.1 MBPart 5/Lesson 15 Deep Learning/043. Loading the IMDb Movie Reviews Dataset.mp4 19.1 MBPart 1/Lesson 02 Intro to Python Programming/008. Triple-Quoted Strings.mp4 19.1 MBPart 5/Lesson 15 Deep Learning/042. Recurrent Neural Networks for Sequences; Sentiment Analysis with the IMDb Dataset.mp4 19.0 MBPart 4/Lesson 12 Data Mining Twitter/025. CleaningPreprocessing Tweets for Analysis.mp4 18.9 MBPart 3/Lesson 10 Object-Oriented Programming/006. Properties for Data Access--Test-Driving Class Time.mp4 18.9 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/018. Test-Driving the App.mp4 18.8 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/011. array Operators.mp4 18.8 MBPart 3/Lesson 10 Object-Oriented Programming/008. Self Check.mp4 18.6 MBPart 1/Lesson 03 Control Statements/020. Boolean Operators and, or and not.mp4 18.5 MBPart 1/Before You Begin/001. Lesson Overview Before You Begin.mp4 18.5 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/018. Metrics for Model Accuracy Confusion Matrix.mp4 18.4 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/042. Case Study Unsupervised Machine Learning, Part 1--Dimensionality Reduction.mp4 18.4 MBPart 2/Lesson 05 Sequences Lists and Tuples/011. Self Check.mp4 18.2 MBPart 3/Lesson 09 Files and Exceptions/019. finally Clause.mp4 18.2 MBPart 3/Lesson 10 Object-Oriented Programming/010. Simulating Private Attributes.mp4 18.2 MBPart 3/Lesson 08 Strings--A Deeper Look/021. Splitting and Joining Strings.mp4 18.1 MBPart 4/Lesson 12 Data Mining Twitter/005. Getting Twitter Credentials--Creating an App.mp4 17.9 MBPart 1/Lesson 02 Intro to Python Programming/014. Objects and Dynamic Typing.mp4 17.9 MBPart 4/Lesson 11 Natural Language Processing/009. Sentiment Analysis with the NaiveBayesAnalyzer.mp4 17.8 MBPart 2/Lesson 05 Sequences Lists and Tuples/008. Self Check.mp4 17.8 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/053. Using a KMeans Estimator.mp4 17.8 MBPart 3/Lesson 10 Object-Oriented Programming/025. Named Tuples.mp4 17.8 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/026. Splitting the Data for Training and Testing.mp4 17.8 MBPart 3/Lesson 10 Object-Oriented Programming/040. Intro to Data Science Time Series and Simple Linear Regression--Plotting the Average High Temperatures and a Regression Line.mp4 17.7 MBPart 5/Lesson 15 Deep Learning/046. Data Preparation.mp4 17.6 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/030. Visualizing the Dataset with the Regression Line.mp4 17.5 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/029. Self Check.mp4 17.5 MBPart 2/Lesson 06 Dictionaries and Sets/018. Sets.mp4 17.4 MBPart 1/Before You Begin/005. Updating Anaconda.mp4 17.3 MBPart 3/Lesson 10 Object-Oriented Programming/015. Self Check.mp4 17.3 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/040. Intro to Data Science pandas Series and DataFrames--Sorting by Column Values.mp4 17.2 MBPart 2/Lesson 06 Dictionaries and Sets/020. Comparing Sets.mp4 17.0 MBPart 5/Lesson 15 Deep Learning/018. One-Hot Encoding Converting the Labels From Integers to Categorical Data.mp4 17.0 MBPart 1/Lesson 04 Functions/015. Methods Functions That Belong to Objects.mp4 17.0 MBPart 2/Lesson 05 Sequences Lists and Tuples/029. Self Check.mp4 17.0 MBPart 2/Lesson 05 Sequences Lists and Tuples/022. List Comprehensions.mp4 16.9 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/041. Self Check.mp4 16.7 MBPart 2/Lesson 05 Sequences Lists and Tuples/015. Sorting Lists.mp4 16.4 MBPart 5/Lesson 15 Deep Learning/016. Reshaping the Image Data.mp4 16.4 MBPart 2/Lesson 05 Sequences Lists and Tuples/010. Sequence Slicing Part 2 Modifying a List.mp4 16.3 MBPart 3/Lesson 10 Object-Oriented Programming/024. Self Check.mp4 16.3 MBPart 4/Lesson 12 Data Mining Twitter/023. Create a Word Cloud from Trending Topics.mp4 16.1 MBPart 3/Lesson 10 Object-Oriented Programming/011. Case Study Card Shuffling and Dealing Simulation--Test Driving Classes Card and DeckOfCards.mp4 16.1 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/011. Additional Services and Tools.mp4 16.0 MBPart 3/Lesson 09 Files and Exceptions/007. Updating Text Files.mp4 15.9 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/028. Intro to Data Science pandas Series and DataFrames--pandas Series Part 2.mp4 15.8 MBPart 3/Lesson 08 Strings--A Deeper Look/022. Self Check.mp4 15.8 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/031. Implementing the Mapper.mp4 15.7 MBPart 2/Lesson 06 Dictionaries and Sets/022. Mathematical Set Operations.mp4 15.7 MBPart 5/Lesson 15 Deep Learning/022. Adding a Conv2D Convolution Layer to Our Model.mp4 15.7 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/007. Creating arrays from Ranges.mp4 15.7 MBPart 5/Lesson 15 Deep Learning/038. Displaying the Probabilities for Several Incorrect Predictions.mp4 15.6 MBPart 1/Lesson 03 Control Statements/023. Self Check.mp4 15.4 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/015. Predicting Digit Classes.mp4 15.4 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/047. Visualizing the Reduced Data with Different Colors for Each Digit.mp4 15.4 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/013. NumPy Calculation Methods.mp4 15.2 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/007. Loading the Dataset Displaying the Description.mp4 15.1 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/020. Metrics for Model Accuracy Visualizing the Confusion Matrix.mp4 15.1 MBPart 3/Lesson 10 Object-Oriented Programming/030. A Brief Intro to Python 3.7's New Data Classes--Advantages Over Named Tuples and Traditional Classes.mp4 15.0 MBPart 2/Lesson 06 Dictionaries and Sets/013. Python Standard Library Module collections.mp4 15.0 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/004. Watson Services Watson Assistant Demo.mp4 14.9 MBPart 5/Lesson 15 Deep Learning/049. Adding an LSTM Layer.mp4 14.9 MBPart 4/Lesson 12 Data Mining Twitter/008. Authenticating with Twitter Via Tweepy.mp4 14.9 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/014. Training the Model.mp4 14.9 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/015. Before You run the App Registering for the Speech to Text Service.mp4 14.9 MBPart 1/Lesson 04 Functions/012. Keyword Arguments.mp4 14.9 MBPart 5/Lesson 15 Deep Learning/037. Visualizing Incorrect Predictions.mp4 14.8 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/030. Intro to Data Science pandas Series and DataFrames--Creating DataFrames and Customizing Indices.mp4 14.6 MBPart 2/Lesson 05 Sequences Lists and Tuples/003. Self Check.mp4 14.5 MBPart 2/Lesson 05 Sequences Lists and Tuples/030. Two-Dimensional Lists.mp4 14.5 MBPart 4/Lesson 11 Natural Language Processing/020. Readability Assessment with Textatistic.mp4 14.4 MBPart 3/Lesson 09 Files and Exceptions/003. Text-File Processing--Writing to a Text File Introducing the with Statement.mp4 14.4 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/037. Training the Model.mp4 14.4 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/017. Indexing and Slicing.mp4 14.4 MBPart 3/Lesson 08 Strings--A Deeper Look/042. Self Check.mp4 14.3 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/001. Lesson 13 Overview IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator.mp4 14.2 MBPart 3/Lesson 10 Object-Oriented Programming/032. Self Check.mp4 14.2 MBPart 2/Lesson 06 Dictionaries and Sets/024. Mutable Set Operators and Methods.mp4 14.2 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/015. Universal Functions.mp4 14.2 MBPart 3/Lesson 10 Object-Oriented Programming/020. Duck Typing and Polymorphism.mp4 14.1 MBPart 3/Lesson 08 Strings--A Deeper Look/039. Intro to Data Science Pandas, Regular Expressions and Data Munging Part 1 Introduction.mp4 14.0 MBPart 1/Lesson 02 Intro to Python Programming/009. Self Check.mp4 14.0 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/019. Metrics for Model Accuracy Classification Report.mp4 13.9 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/006. Watson Services Speech to Text.mp4 13.9 MBPart 3/Lesson 09 Files and Exceptions/005. Text-File Processing--Reading Data from a Text File.mp4 13.8 MBPart 2/Lesson 05 Sequences Lists and Tuples/024. Generator Expressions.mp4 13.8 MBPart 1/Lesson 04 Functions/014. Self Check.mp4 13.7 MBPart 3/Lesson 08 Strings--A Deeper Look/009. Self Check.mp4 13.7 MBPart 4/Lesson 11 Natural Language Processing/010. Language Detection and Translation.mp4 13.7 MBPart 4/Lesson 12 Data Mining Twitter/020. Places with Trending Topics.mp4 13.7 MBPart 2/Lesson 06 Dictionaries and Sets/011. Example Dictionary of Student Grades.mp4 13.7 MBPart 3/Lesson 10 Object-Oriented Programming/016. Inheritance Base Classes and Subclasses.mp4 13.6 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/019. Views Shallow Copies.mp4 13.5 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/028. Watson Resources.mp4 13.3 MBPart 3/Lesson 10 Object-Oriented Programming/022. Test-Driving Class Complex.mp4 13.2 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/009. Watson Services Natural Language Understanding.mp4 13.2 MBPart 5/Lesson 15 Deep Learning/025. Adding a Pooling Layer.mp4 13.1 MBPart 3/Lesson 10 Object-Oriented Programming/021. Operator Overloading.mp4 13.1 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/025. SimpleLanguageTranslator.py Script Walkthrough Function text to speech.mp4 13.1 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/021. NewSQL Databases.mp4 13.0 MBPart 3/Lesson 09 Files and Exceptions/008. Self Check.mp4 13.0 MBPart 2/Lesson 05 Sequences Lists and Tuples/033. Sample Graphs for 600, 60,000 and 6,000,000 Die Rolls.mp4 12.9 MBPart 5/Lesson 15 Deep Learning/009. Tensors.mp4 12.9 MBPart 3/Lesson 09 Files and Exceptions/027. Intro to Data Science Working with CSV Files--Simple Data Analysis with the Titanic Disaster Dataset.mp4 12.8 MBPart 2/Lesson 05 Sequences Lists and Tuples/014. Passing Lists to Functions.mp4 12.8 MBPart 3/Lesson 10 Object-Oriented Programming/039. Intro to Data Science Time Series and Simple Linear Regression--Forecasting Future January Average High Temperatures.mp4 12.8 MBPart 3/Lesson 08 Strings--A Deeper Look/027. re Module and Function fullmatch Part 2--Metacharacters, Character Classes and Quantifiers.mp4 12.7 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/028. Creating an Apache Hadoop Cluster in Microsoft Azure HDInsight Part 1.mp4 12.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/046. Visualizing the Reduced Data.mp4 12.6 MBPart 5/Lesson 15 Deep Learning/048. Adding an Embedding Layer.mp4 12.6 MBPart 3/Lesson 08 Strings--A Deeper Look/029. re Module and Function fullmatch Part 1--Quantifiers.mp4 12.5 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/003. Introduction--Apache Hadoop and Apache Spark.mp4 12.5 MBPart 5/Lesson 15 Deep Learning/030. Printing the Model's Summary.mp4 12.4 MBPart 3/Lesson 09 Files and Exceptions/013. Self Check.mp4 12.3 MBPart 3/Lesson 10 Object-Oriented Programming/035. Intro to Data Science Time Series and Simple Linear Regression--Components of the Simple Linear Regression Calculation.mp4 12.3 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/016. NoSQL and NewSQL Big-Data Databases A Brief Tour.mp4 12.3 MBPart 5/Lesson 15 Deep Learning/054. Tuning Deep Learning Models.mp4 12.3 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/032. Implementing the Reducer.mp4 12.3 MBPart 2/Lesson 06 Dictionaries and Sets/003. 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Case Study A MongoDB JSON Document Database.mp4 11.8 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/008. Loading the Dataset Checking the Sample and Target Sizes.mp4 11.8 MBPart 4/Lesson 12 Data Mining Twitter/002. Introduction.mp4 11.8 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/012. Watson Developer Cloud Python SDK.mp4 11.7 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/003. Self Check.mp4 11.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/049. Case Study Unsupervised Machine Learning, Part 2--k-Means Clustering.mp4 11.6 MBPart 2/Lesson 06 Dictionaries and Sets/021. Self Check.mp4 11.6 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/050. Loading the Iris Dataset.mp4 11.6 MBPart 3/Lesson 08 Strings--A Deeper Look/028. re Module and Function fullmatch Part 3--Custom Character Classes.mp4 11.5 MBPart 4/Lesson 11 Natural Language Processing/016. Deleting Stop Word.mp4 11.5 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/010. Watson Services Personality Insights.mp4 11.4 MBPart 4/Lesson 11 Natural Language Processing/002. Introduction.mp4 11.4 MBPart 4/Lesson 11 Natural Language Processing/017. n-grams.mp4 11.4 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/020. SimpleLanguageTranslator.py Script Walkthrough Importing Watson SDK Classes from the ibm watson Module.mp4 11.3 MBPart 3/Lesson 08 Strings--A Deeper Look/040. Intro to Data Science Pandas, Regular Expressions and Data Munging Part 3 Data Validation.mp4 11.3 MBPart 3/Lesson 09 Files and Exceptions/012. 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IBM Cloud Account and Cloud Console.mp4 10.8 MBPart 3/Lesson 08 Strings--A Deeper Look/004. Formatting Strings--Field Widths and Alignment.mp4 10.8 MBPart 5/Lesson 15 Deep Learning/003. Deep Learning Applications.mp4 10.7 MBPart 2/Lesson 06 Dictionaries and Sets/016. Dictionary Comprehensions.mp4 10.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/044. Creating a TSNE Estimator for Dimensionality Reduction.mp4 10.6 MBPart 5/Lesson 15 Deep Learning/010. Convolutional Neural Networks for Vision; Multi-Classification with the MNIST Dataset.mp4 10.6 MBPart 2/Lesson 05 Sequences Lists and Tuples/031. Self Check.mp4 10.6 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/007. Relational Databases and Structured Query Language (SQL).mp4 10.6 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/005. Introduction--Experience Cloud and Desktop Big-Data Software.mp4 10.6 MBPart 2/Lesson 05 Sequences Lists and Tuples/023. 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Self Check.mp4 8.8 MBPart 3/Lesson 10 Object-Oriented Programming/036. Intro to Data Science Time Series and Simple Linear Regression--Loading the Average High Temperatures into a DataFrame.mp4 8.7 MBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/027. Summarizing Word Lengths in Romeo and Juliet via MapReduce.mp4 8.7 MBPart 5/Lesson 15 Deep Learning/017. Normalizing the Image Data.mp4 8.6 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/038. Intro to Data Science pandas Series and DataFrames--Transposing the DataFrame with the T Attribute.mp4 8.6 MB
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Transforming the Digits Dataset's Features into Two Dimensions.mp4 6.8 MBPart 3/Lesson 09 Files and Exceptions/004. Self Check.mp4 6.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/032. Case Study Multiple Linear Regression with the California Housing Dataset.mp4 6.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/013. Creating the Model.mp4 6.7 MBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/008. Watson Services Language Translator.mp4 6.7 MBPart 5/Lesson 15 Deep Learning/035. Making Predictions.mp4 6.7 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/031. OverfittingUnderfitting.mp4 6.6 MBPart 5/Lesson 15 Deep Learning/023. Dimensionality of the First Convolution Layer’s Output.mp4 6.6 MBPart 2/Lesson 07 Array-Oriented Programming with Numpy/034. Intro to Data Science pandas Series and DataFrames--Selecting Subsets of the Rows and Columns.mp4 6.5 MBPart 4/Lesson 12 Data Mining Twitter/007. Tweepy.mp4 6.5 MBPart 4/Lesson 12 Data Mining Twitter/022. Self Check.mp4 6.5 MBPart 2/Lesson 05 Sequences Lists and Tuples/018. Self Check.mp4 6.3 MBPart 5/Lesson 15 Deep Learning/005. Keras Resources.mp4 6.3 MBPart 3/Lesson 08 Strings--A Deeper Look/023. Characters and Character-Testing Methods.mp4 6.2 MBPart 5/Lesson 15 Deep Learning/006. Keras Built-In Datasets.mp4 6.2 MBPart 4/Lesson 12 Data Mining Twitter/013. Self Check.mp4 6.2 MBPart 3/Lesson 08 Strings--A Deeper Look/011. Self Check.mp4 6.2 MBPart 2/Lesson 06 Dictionaries and Sets/010. Dictionary Comparisons.mp4 6.1 MBPart 3/Lesson 09 Files and Exceptions/016. Division by Zero and Invalid Input.mp4 6.1 MBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/038. Testing the Model.mp4 6.0 MBPart 4/Lesson 12 Data Mining Twitter/004. 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Self Check en.srt 3.8 kBCode examples/examples/ch05/snippets_ipynb/05_05selfcheck.ipynb 3.8 kBCode examples/examples/ch05/snippets_ipynb/.ipynb_checkpoints/05_05selfcheck-checkpoint.ipynb 3.8 kBCode examples/examples/ch05/snippets_ipynb/05_10selfcheck.ipynb 3.8 kBCode examples/examples/ch05/snippets_ipynb/.ipynb_checkpoints/05_10selfcheck-checkpoint.ipynb 3.8 kBCode examples/examples/ch07/snippets_ipynb/.ipynb_checkpoints/07_14.01selfcheck-checkpoint.ipynb 3.8 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/027. Summarizing Word Lengths in Romeo and Juliet via MapReduce en.srt 3.8 kBCode examples/examples/ch08/snippets_ipynb/08_09selfcheck.ipynb 3.8 kBPart 2/Lesson 06 Dictionaries and Sets/014. Self Check en.srt 3.8 kBCode examples/examples/ch09/snippets_ipynb/09_04selfcheck.ipynb 3.8 kBPart 4/Lesson 12 Data Mining Twitter/007. Tweepy en.srt 3.8 kBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/016. 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Self Check en.srt 3.6 kBCode examples/examples/ch05/snippets_ipynb/05_02selfcheck.ipynb 3.6 kBCode examples/examples/ch05/snippets_ipynb/.ipynb_checkpoints/05_02selfcheck-checkpoint.ipynb 3.6 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/011. ORDER BY Clause en.srt 3.6 kBCode examples/examples/ch10/snippets_ipynb/10_10.02selfcheck.ipynb 3.6 kBPart 3/Lesson 08 Strings--A Deeper Look/024. Raw Strings en.srt 3.6 kBPart 5/Lesson 15 Deep Learning/051. Compiling the Model and Displaying the Summary en.srt 3.6 kBPart 4/Lesson 12 Data Mining Twitter/011. Introduction to Tweepy Cursors Getting an Account's Followers and Friends en.srt 3.6 kBCode examples/examples/ch07/snippets_ipynb/07_08.ipynb 3.6 kBCode examples/examples/ch07/snippets_ipynb/.ipynb_checkpoints/07_08-checkpoint.ipynb 3.6 kBPart 5/Lesson 15 Deep Learning/039. Saving and Loading a Model en.srt 3.6 kBPart 1/Before You Begin/006. Package managers en.srt 3.6 kBPart 1/Lesson 02 Intro to Python Programming/013. 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Making Predictions en.srt 3.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_12.03-checkpoint.ipynb 3.4 kBCode examples/examples/ch08/snippets_ipynb/08_02.02.ipynb 3.4 kBCode examples/examples/ch05/snippets_ipynb/05_07.ipynb 3.4 kBCode examples/examples/ch05/snippets_ipynb/.ipynb_checkpoints/05_07-checkpoint.ipynb 3.4 kBCode examples/examples/ch04/snippets_ipynb/04_03.ipynb 3.4 kBCode examples/examples/ch04/snippets_ipynb/.ipynb_checkpoints/04_03-checkpoint.ipynb 3.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_04-checkpoint.ipynb 3.4 kBPart 1/Lesson 03 Control Statements/009. Self Check en.srt 3.4 kBPart 3/Lesson 10 Object-Oriented Programming/029. Self Check en.srt 3.4 kBCode examples/examples/ch10/snippets_ipynb/10_10.01.ipynb 3.3 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/10_10.01-checkpoint.ipynb 3.3 kBCode examples/examples/ch09/snippets_ipynb/09_12.01selfcheck.ipynb 3.3 kBPart 5/Lesson 15 Deep Learning/020. 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Lesson 13 Overview IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator en.srt 2.6 kBCode examples/examples/ch09/snippets_ipynb/09_11.ipynb 2.6 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_11-checkpoint.ipynb 2.6 kBCode examples/examples/ch03/snippets_ipynb/03_07selfcheck.ipynb 2.6 kBCode examples/examples/ch08/snippets_ipynb/08_05selfcheck.ipynb 2.6 kBCode examples/examples/ch03/snippets_ipynb/03_08selfcheck.ipynb 2.6 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/03_08selfcheck-checkpoint.ipynb 2.6 kBCode examples/examples/ch10/snippets_ipynb/10_13selfcheck.ipynb 2.6 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/10_13selfcheck-checkpoint.ipynb 2.6 kBCode examples/examples/ch14/snippets_py/14_04.py 2.6 kBCode examples/examples/ch14/snippets_py/.ipynb_checkpoints/14_04-checkpoint.py 2.6 kBPart 1/Lesson 03 Control Statements/013. Self Check en.srt 2.6 kBCode examples/examples/ch03/snippets_ipynb/03_06selfcheck.ipynb 2.6 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/03_06selfcheck-checkpoint.ipynb 2.6 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_03.01-checkpoint.ipynb 2.6 kBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/032. Case Study Multiple Linear Regression with the California Housing Dataset en.srt 2.6 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/018. NoSQL Document Databases en.srt 2.5 kBCode examples/examples/ch05/snippets_ipynb/05_13.ipynb 2.5 kBCode examples/examples/ch05/snippets_ipynb/.ipynb_checkpoints/05_13-checkpoint.ipynb 2.5 kBCode examples/examples/ch03/snippets_ipynb/03_09selfcheck.ipynb 2.5 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/03_09selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch04/snippets_ipynb/.ipynb_checkpoints/04_02selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch04/snippets_ipynb/04_17.ipynb 2.5 kBCode examples/examples/ch04/snippets_ipynb/.ipynb_checkpoints/04_17-checkpoint.ipynb 2.5 kBCode examples/examples/ch08/snippets_py/08_12.01.py 2.5 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_12.05selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch04/snippets_ipynb/04_09.ipynb 2.5 kBPart 2/Lesson 07 Array-Oriented Programming with Numpy/031. Intro to Data Science pandas Series and DataFrames--Accessing a DataFrame's Columns en.srt 2.5 kBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/006. Loading the Dataset en.srt 2.5 kBCode examples/examples/ch16/TwitterMongoDB/tweetlistener.py 2.5 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/03_12selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch06/snippets_ipynb/06.02.01selfcheck.ipynb 2.5 kBCode examples/examples/ch06/snippets_ipynb/.ipynb_checkpoints/06.02.01selfcheck-checkpoint.ipynb 2.5 kBPart 5/Lesson 15 Deep Learning/027. Flattening the Results to One Dimension with a Keras Flatten Layer en.srt 2.5 kBCode examples/examples/ch09/snippets_ipynb/09_03.02.ipynb 2.5 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_03.02-checkpoint.ipynb 2.5 kBPart 2/Lesson 06 Dictionaries and Sets/017. Self Check en.srt 2.5 kBCode examples/examples/ch10/snippets_ipynb/__pycache__/commissionemployee.cpython-37.pyc 2.5 kBPart 5/Lesson 15 Deep Learning/014. Data Exploration en.srt 2.5 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/004. Introduction--Internet of Things en.srt 2.5 kBPart 1/Before You Begin/009. Getting your questions answered en.srt 2.5 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/10_15selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch02/snippets_ipynb/02_05selfcheck.ipynb 2.5 kBCode examples/examples/ch02/snippets_ipynb/.ipynb_checkpoints/02_05selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/10_11selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch05/snippets_ipynb/05_13selfcheck.ipynb 2.5 kBCode examples/examples/ch05/snippets_ipynb/.ipynb_checkpoints/05_13selfcheck-checkpoint.ipynb 2.5 kBPart 2/Lesson 06 Dictionaries and Sets/002. Dictionaries en.srt 2.5 kBCode examples/examples/ch07/snippets_ipynb/07_05selfcheck.ipynb 2.5 kBCode examples/examples/ch07/snippets_ipynb/.ipynb_checkpoints/07_05selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch12/tweetlistener.py 2.5 kBCode examples/examples/ch12/snippets_ipynb/tweetlistener.py 2.5 kBCode examples/examples/ch12/snippets_py/tweetlistener.py 2.5 kBCode examples/examples/ch04/snippets_ipynb/04_14selfcheck.ipynb 2.5 kBCode examples/examples/ch04/snippets_ipynb/.ipynb_checkpoints/04_14selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_12.02-checkpoint.ipynb 2.5 kBPart 2/Lesson 07 Array-Oriented Programming with Numpy/008. Self Check en.srt 2.5 kBCode examples/examples/ch04/snippets_ipynb/04_03selfcheck.ipynb 2.5 kBCode examples/examples/ch04/snippets_ipynb/.ipynb_checkpoints/04_03selfcheck-checkpoint.ipynb 2.5 kBCode examples/examples/ch08/snippets_ipynb/08_11.ipynb 2.5 kBCode examples/examples/ch08/snippets_ipynb/08_07selfcheck.ipynb 2.5 kBCode examples/examples/ch08/snippets_py/08_12.03.py 2.5 kBCode examples/examples/ch11/snippets_ipynb/11_02.10.ipynb 2.4 kBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/038. Testing the Model en.srt 2.4 kBCode examples/examples/ch08/snippets_ipynb/08_10.ipynb 2.4 kBCode examples/examples/ch03/snippets_ipynb/03_13.ipynb 2.4 kBCode examples/examples/ch04/snippets_ipynb/04_12.ipynb 2.4 kBCode examples/examples/ch04/snippets_ipynb/.ipynb_checkpoints/04_12-checkpoint.ipynb 2.4 kBCode examples/examples/ch08/snippets_ipynb/08_05.ipynb 2.4 kBCode examples/examples/ch07/snippets_ipynb/07_04.ipynb 2.4 kBCode examples/examples/ch07/snippets_ipynb/.ipynb_checkpoints/07_04-checkpoint.ipynb 2.4 kBCode examples/examples/ch01/snippets_ipynb/IPython_selfcheck.ipynb 2.4 kBCode examples/examples/ch01/snippets_ipynb/.ipynb_checkpoints/IPython_selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/03_07selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch08/snippets_ipynb/08_02.02selfcheck.ipynb 2.4 kBPart 4/Lesson 12 Data Mining Twitter/026. Twitter Streaming API en.srt 2.4 kBCode examples/examples/ch07/snippets_ipynb/07_07selfcheck.ipynb 2.4 kBCode examples/examples/ch07/snippets_ipynb/.ipynb_checkpoints/07_07selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch10/salariedcommissionemployee.py 2.4 kBCode examples/examples/ch10/snippets_py/salariedcommissionemployee.py 2.4 kBCode examples/examples/ch08/snippets_ipynb/08_02.03selfcheck.ipynb 2.4 kBCode examples/examples/ch10/snippets_py/10_08.py 2.4 kBCode examples/examples/ch06/snippets_ipynb/06.02.02.ipynb 2.4 kBCode examples/examples/ch06/snippets_ipynb/.ipynb_checkpoints/06.02.02-checkpoint.ipynb 2.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_07selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/10_03selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/10_04.03selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch06/snippets_ipynb/06.03.01selfcheck.ipynb 2.4 kBCode examples/examples/ch06/snippets_ipynb/.ipynb_checkpoints/06.03.01selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_08.01-checkpoint.ipynb 2.4 kBCode examples/examples/ch10/snippets_ipynb/salariedcommissionemployee.py 2.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/salariedcommissionemployee-checkpoint.py 2.4 kBPart 3/Lesson 08 Strings--A Deeper Look/025. Introduction to Regular Expressions en.srt 2.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/10_07selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch04/fig04_02.py 2.4 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/10_02.01selfcheck-checkpoint.ipynb 2.4 kBCode examples/examples/ch09/snippets_ipynb/09_08.01.ipynb 2.4 kBCode examples/examples/ch10/complexnumber2.py 2.3 kBCode examples/examples/ch10/snippets_ipynb/complexnumber2.py 2.3 kBCode examples/examples/ch10/snippets_py/complexnumber2.py 2.3 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/ex03_04-checkpoint.ipynb 2.3 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/ex03_02-checkpoint.ipynb 2.3 kBCode examples/examples/ch03/snippets_ipynb/03_09.ipynb 2.3 kBCode examples/examples/ch03/snippets_ipynb/03_15.ipynb 2.3 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/03_09-checkpoint.ipynb 2.3 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/03_15-checkpoint.ipynb 2.3 kBCode examples/examples/ch10/accountdoctest.py 2.3 kBCode examples/examples/ch10/snippets_ipynb/accountdoctest.py 2.3 kBCode examples/examples/ch10/snippets_py/accountdoctest.py 2.3 kBCode examples/examples/ch06/snippets_ipynb/06.03.04.ipynb 2.3 kBCode examples/examples/ch06/snippets_ipynb/.ipynb_checkpoints/06.03.04-checkpoint.ipynb 2.3 kBCode examples/examples/ch06/snippets_ipynb/06.02.09selfcheck.ipynb 2.3 kBCode examples/examples/ch06/snippets_ipynb/.ipynb_checkpoints/06.02.09selfcheck-checkpoint.ipynb 2.3 kBCode examples/examples/ch14/snippets_py/14_06.py 2.3 kBCode examples/examples/ch02/snippets_ipynb/02_06selfcheck.ipynb 2.3 kBCode examples/examples/ch02/snippets_ipynb/.ipynb_checkpoints/02_06selfcheck-checkpoint.ipynb 2.3 kBCode examples/examples/ch02/snippets_ipynb/02_09.ipynb 2.3 kBPart 4/Lesson 12 Data Mining Twitter/029. Twitter Restrictions Note en.srt 2.3 kBPart 2/Lesson 05 Sequences Lists and Tuples/018. Self Check en.srt 2.3 kBCode examples/examples/ch08/snippets_ipynb/08_02.01selfcheck.ipynb 2.3 kBPart 3/Lesson 10 Object-Oriented Programming/026. A Brief Intro to Python 3.7's New Data Classes en.srt 2.3 kBPart 5/Lesson 15 Deep Learning/029. Adding Another Dense Layer to Produce the Final Output en.srt 2.3 kBCode examples/examples/ch03/snippets_ipynb/03_07.ipynb 2.3 kBCode examples/examples/ch03/snippets_ipynb/.ipynb_checkpoints/03_07-checkpoint.ipynb 2.3 kBPart 3/Lesson 08 Strings--A Deeper Look/011. Self Check en.srt 2.3 kBCode examples/examples/ch05/RollDie.py 2.3 kBPart 3/Lesson 09 Files and Exceptions/021. Explicitly Raising an Exception en.srt 2.3 kBCode examples/examples/ch10/card.py 2.3 kBCode examples/examples/ch10/snippets_ipynb/card.py 2.3 kBCode examples/examples/ch10/snippets_py/card.py 2.3 kBCode examples/examples/ch08/snippets_ipynb/08_08selfcheck.ipynb 2.3 kBCode examples/examples/ch04/snippets_ipynb/04_07.ipynb 2.3 kBCode examples/examples/ch04/snippets_ipynb/.ipynb_checkpoints/04_07-checkpoint.ipynb 2.3 kBCode examples/examples/ch02/snippets_ipynb/02_08selfcheck.ipynb 2.2 kBCode examples/examples/ch02/snippets_ipynb/.ipynb_checkpoints/02_08selfcheck-checkpoint.ipynb 2.2 kBCode examples/examples/ch04/snippets_ipynb/04_10.ipynb 2.2 kBCode examples/examples/ch10/salariedemployee.py 2.2 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/017. NoSQL Key-Value Databases en.srt 2.2 kBCode examples/examples/ch10/ave_hi_austin_jan_1895-2018.csv 2.2 kBCode examples/examples/ch10/ave_hi_la_jan_1895-2018.csv 2.2 kBCode examples/examples/ch10/ave_hi_nyc_jan_1895-2018.csv 2.2 kBCode examples/examples/ch10/snippets_ipynb/ave_hi_la_jan_1895-2018.csv 2.2 kBCode examples/examples/ch10/snippets_ipynb/ave_hi_nyc_jan_1895-2018.csv 2.2 kBCode examples/examples/ch10/snippets_py/ave_hi_la_jan_1895-2018.csv 2.2 kBCode examples/examples/ch10/snippets_py/ave_hi_nyc_jan_1895-2018.csv 2.2 kBCode examples/examples/ch14/ave_hi_nyc_jan_1895-2018.csv 2.2 kBCode examples/examples/ch14/snippets_ipynb/ave_hi_nyc_jan_1895-2018.csv 2.2 kBCode examples/examples/ch14/snippets_py/ave_hi_nyc_jan_1895-2018.csv 2.2 kBCode examples/examples/ch10/deck2.py 2.2 kBCode examples/examples/ch10/snippets_ipynb/deck2.py 2.2 kBCode examples/examples/ch10/snippets_py/deck2.py 2.2 kBPart 5/Lesson 15 Deep Learning/019. Creating the Neural Network en.srt 2.2 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_12.04-checkpoint.ipynb 2.2 kBCode examples/examples/ch10/deck.py 2.2 kBCode examples/examples/ch10/snippets_ipynb/deck.py 2.2 kBCode examples/examples/ch10/snippets_py/deck.py 2.2 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/014. UPDATE Statement en.srt 2.2 kBPart 3/Lesson 09 Files and Exceptions/015. Handling Exceptions en.srt 2.2 kBPart 3/Lesson 10 Object-Oriented Programming/038. Intro to Data Science Time Series and Simple Linear Regression--Calculating Basic Descriptive Statistics for the Dataset en.srt 2.2 kBPart 3/Lesson 08 Strings--A Deeper Look/012. Stripping Whitespace from Strings en.srt 2.2 kBCode examples/examples/ch05/snippets_py/05_10.py 2.2 kBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/014. Before You run the App en.srt 2.2 kBPart 2/Lesson 06 Dictionaries and Sets/007. Self Check en.srt 2.2 kBCode examples/examples/ch10/snippets_ipynb/account.py 2.2 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/account-checkpoint.py 2.2 kBCode examples/examples/ch10/snippets_py/account.py 2.2 kBCode examples/examples/ch10/snippets_py/.ipynb_checkpoints/account-checkpoint.py 2.2 kBCode examples/examples/ch10/snippets_py/10_06.04.py 2.2 kBPart 1/Before You Begin/007. Installing jupyter-matplotlib en.srt 2.2 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_12.05-checkpoint.ipynb 2.1 kBCode examples/examples/ch08/snippets_ipynb/08_08.ipynb 2.1 kBCode examples/examples/ch11/snippets_py/11_02.01-07.py 2.1 kBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/017. Before You run the App Registering for the Language Translator Service en.srt 2.1 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/09_10selfcheck-checkpoint.ipynb 2.1 kBPart 1/Lesson 03 Control Statements/007. Self Check en.srt 2.1 kBCode examples/examples/ch05/snippets_py/05_02.py 2.1 kBCode examples/examples/ch16/sql/books.sql 2.1 kBPart 5/Lesson 15 Deep Learning/011. Reproducibility in Keras and Deep Learning en.srt 2.1 kBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/021. SimpleLanguageTranslator.py Script Walkthrough Other Imported Modules en.srt 2.1 kBPart 2/Lesson 07 Array-Oriented Programming with Numpy/025. Self Check en.srt 2.1 kBCode examples/examples/ch14/ave_yearly_temp_nyc_1895-2017.csv 2.0 kBCode examples/examples/ch14/snippets_ipynb/ave_yearly_temp_nyc_1895-2017.csv 2.0 kBCode examples/examples/ch14/snippets_py/ave_yearly_temp_nyc_1895-2017.csv 2.0 kBCode examples/examples/ch09/snippets_py/09_09.py 2.0 kBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/043. Loading the Digits Dataset en.srt 2.0 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/009. SELECT Queries en.srt 2.0 kBPart 1/Lesson 04 Functions/020. Self Check en.srt 2.0 kBCode examples/examples/ch10/complexnumber.py 2.0 kBCode examples/examples/ch10/snippets_ipynb/complexnumber.py 2.0 kBCode examples/examples/ch10/snippets_py/complexnumber.py 2.0 kBCode examples/examples/ch03/snippets_py/03_06.py 2.0 kBPart 3/Lesson 08 Strings--A Deeper Look/018. Self Check en.srt 2.0 kBPart 5/Lesson 14, Machine Learning Classification, Regression and Clustering/036. Splitting the Data for Training and Testing en.srt 2.0 kBCode examples/examples/ch10/carddataclass.py 1.9 kBCode examples/examples/ch10/snippets_ipynb/carddataclass.py 1.9 kBCode examples/examples/ch10/snippets_py/carddataclass.py 1.9 kBPart 3/Lesson 09 Files and Exceptions/002. Files en.srt 1.9 kBCode examples/examples/ch10/ave_hi_nyc2_jan_1895-2018.csv 1.9 kBCode examples/examples/ch10/snippets_py/.ipynb_checkpoints/carddataclass-checkpoint.py 1.9 kBCode examples/examples/ch10/snippets_ipynb/.ipynb_checkpoints/carddataclass-checkpoint.py 1.9 kBCode examples/examples/ch07/snippets_py/07_14.01.py 1.9 kBCode examples/examples/ch08/snippets_py/08_13.py 1.9 kBCode examples/examples/ch09/snippets_py/09_12.03-05.py 1.9 kBCode examples/examples/ch09/snippets_py/.ipynb_checkpoints/09_12.03-05-checkpoint.py 1.9 kBPart 4/Lesson 13 IBM Watson and Cognitive Computing; Building a Speech-to-Speech Translator/027. SimpleLanguageTranslator.py Script Walkthrough Function play audio en.srt 1.9 kBPart 2/Lesson 06 Dictionaries and Sets/004. Self Check en.srt 1.9 kBCode examples/examples/ch04/fig04_01.py 1.9 kBCode examples/examples/ch12/snippets_py/12_13_02.py 1.9 kBCode examples/examples/ch14/snippets_py/.ipynb_checkpoints/14_06-checkpoint.py 1.9 kBCode examples/examples/ch11/snippets_py/11_03.01.py 1.9 kBCode examples/examples/ch11/snippets_py/11_03.02.py 1.9 kBCode examples/examples/ch06/snippets_py/06.02.03.py 1.8 kBPart 4/Lesson 12 Data Mining Twitter/010. Self Check en.srt 1.8 kBCode examples/examples/ch09/snippets_py/09_12.01.py 1.8 kBCode examples/examples/ch10/account.py 1.8 kBCode examples/examples/ch05/snippets_py/05_03.py 1.8 kBCode examples/examples/ch05/snippets_py/05_17selfcheck.py 1.8 kBCode examples/examples/ch05/snippets_py/.ipynb_checkpoints/05_17selfcheck-checkpoint.py 1.8 kBCode examples/examples/ch02/fig02_01.py 1.8 kBCode examples/examples/ch05/snippets_py/05_04.py 1.8 kBCode examples/examples/ch10/snippets_ipynb/__pycache__/salariedcommissionemployee.cpython-37.pyc 1.8 kBPart 3/Lesson 08 Strings--A Deeper Look/005. Self Check en.srt 1.8 kBCode examples/examples/ch05/snippets_py/05_05.py 1.8 kBCode examples/examples/ch10/snippets_ipynb/__pycache__/card.cpython-37.pyc 1.8 kBCode examples/examples/ch10/snippets_py/10_09.py 1.8 kBCode examples/examples/ch10/snippets_py/.ipynb_checkpoints/10_09-checkpoint.py 1.8 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/042. Internet of Things and Dashboards en.srt 1.8 kBCode examples/examples/ch09/snippets_py/09_05.py 1.8 kBPart 5/Lesson 16 Big Data Hadoop, Spark, NoSQL (MongoDB) and IoT/006. Introduction--Big Data Sources en.srt 1.7 kBPart 1/Lesson 02 Intro to Python Programming/015. Self Check en.srt 1.7 kBCode examples/examples/ch16/iot/simulator.py 1.7 kBCode examples/README.md 1.7 kBCode examples/examples/ch16/HadoopMapReduce/length_reducer.py 1.7 kBCode examples/examples/ch06/snippets_py/06.02.04.py 1.7 kBCode examples/examples/ch05/snippets_py/05_14.py 1.7 kBCode examples/examples/ch05/snippets_py/05_15.py 1.7 kBCode examples/examples/ch07/snippets_py/07_03.py 1.7 kBCode examples/examples/ch08/snippets_py/08_13selfcheck.py 1.7 kBCode examples/examples/ch04/snippets_py/04_15.py 1.7 kBCode examples/examples/ch07/snippets_py/07_13.py 1.7 kBCode examples/examples/ch09/dividebyzero.py 1.7 kBPart 3/Lesson 08 Strings--A Deeper Look/013. Self Check en.srt 1.7 kBCode examples/examples/ch05/snippets_py/05_12.py 1.7 kBCode examples/examples/ch07/snippets_py/07_06.py 1.7 kBPart 3/Lesson 08 Strings--A Deeper Look/034. Other Search Functions; Accessing Matches--Ignoring Case with the Optional flags Keyword Argument en.srt 1.7 kBPart 4/Lesson 12 Data Mining Twitter/018. Self Check en.srt 1.7 kBCode examples/examples/ch14/snippets_py/digits3d.py 1.7 kBCode examples/examples/ch14/snippets_py/.ipynb_checkpoints/digits3d-checkpoint.py 1.7 kBCode examples/examples/ch08/snippets_py/08_09.py 1.7 kBCode examples/examples/ch08/snippets_py/.ipynb_checkpoints/08_09-checkpoint.py 1.7 kBPart 1/Lesson 04 Functions/018. Self Check en.srt 1.6 kBCode examples/examples/ch10/snippets_ipynb/__pycache__/complexnumber2.cpython-37.pyc 1.6 kBPart 4/Lesson 12 Data Mining Twitter/016. 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Self Check en.srt 1.5 kBCode examples/examples/ch03/fig03_01.py 1.5 kBCode examples/examples/ch04/snippets_py/04_03.py 1.5 kBCode examples/examples/ch16/HadoopMapReduce/length_mapper.py 1.5 kBCode examples/examples/ch03/snippets_py/03_14.py 1.5 kBCode examples/examples/ch06/snippets_py/06.03.00.py 1.5 kBCode examples/examples/ch04/snippets_py/04_13.py 1.5 kBCode examples/examples/ch04/snippets_py/.ipynb_checkpoints/04_13-checkpoint.py 1.5 kBPart 2/Lesson 07 Array-Oriented Programming with Numpy/005. Self Check en.srt 1.5 kBCode examples/examples/ch02/snippets_py/02_03.py 1.5 kBPart 4/Lesson 12 Data Mining Twitter/019. 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