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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Intro to Data Analytics for Nonprofits (Charity Analytics).zip

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【压缩文件】 [ FreeCourseWeb.com ] Security Event Triage Statistical Baselining with SIEM Data Integration.zip

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【影视】 [FreeCourseLab.com] Udemy - Python A-Z™ Python For Data Science With Real Exercises!

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6. Advanced Visualization/10. BONUS Building Dashboards in Python.mp4 87.6 MB
5. Data Frames/6. Filtering a Data Frame.mp4 78.8 MB
4. Matrices/3. Building Your First Matrix.mp4 74.6 MB
6. Advanced Visualization/11. BONUS Styling Tips.mp4 74.5 MB
4. Matrices/4. Dictionaries in Python.mp4 73.5 MB
5. Data Frames/4. Subsetting dataframes in Pandas.mp4 64.8 MB
6. Advanced Visualization/4. Stacked histograms in Python.mp4 60.3 MB
4. Matrices/9. Advanced Function Design.mp4 59.5 MB
6. Advanced Visualization/12. BONUS Finishing Touches.mp4 55.1 MB
7. Homework Solutions/9. THANK YOU bonus video.mp4 54.8 MB
7. Homework Solutions/4. Homework Solution Section 4 Basketball Free Throws.mp4 54.0 MB
4. Matrices/8. Creating Your First Function.mp4 50.9 MB
5. Data Frames/10. Keyword Arguments in Python (advanced tutorial).mp4 46.2 MB
2. Core Programming Principles/1. Updates on Udemy Reviews.mp4 45.5 MB
6. Advanced Visualization/8. Creating a Facet Grid.mp4 45.1 MB
5. Data Frames/5. Basic operations with a Data Frame.mp4 44.5 MB
6. Advanced Visualization/6. Working with Subplots().mp4 43.6 MB
4. Matrices/10. Basketball Insights.mp4 43.5 MB
4. Matrices/7. Expanded Visualization.mp4 42.7 MB
5. Data Frames/2. Exploring your dataset.mp4 42.0 MB

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【压缩文件】 Udemy - Microsoft Excel - Basic Data Visualization in Excel.rar

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Udemy - Microsoft Excel - Basic Data Visualization in Excel.rar 180.4 MB

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【影视】 [FreeCourseSite.com] Udemy - Introduction to Machine Learning for Data Science

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10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 101.0 MB
9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp4 77.0 MB
3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 76.0 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp4 70.7 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp4 64.6 MB
8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4 59.8 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4 58.9 MB
12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.mp4 57.4 MB

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【影视】 Udemy - Python for Data Science and Machine Learning Bootcamp

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26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Python Pandas and dfply for Data Manipulation.zip

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[ FreeCourseWeb.com ] Udemy - Python Pandas and dfply for Data Manipulation.zip 1.6 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Google Analytics Reporting with Google Data Studio.zip

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[ FreeCourseWeb.com ] Udemy - Google Analytics Reporting with Google Data Studio.zip 639.3 MB

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【压缩文件】 Big Data Analysis with Apache Spark PySpark Hands on Python

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Big Data Analysis with Apache Spark PySpark Hands on Python.zip 1.5 GB
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【压缩文件】 [ FreeCourseWeb.com ] Microsoft PolyBase Hadoop and Blob Storage - Processing Big Data and Cloud Objects.zip

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[ FreeCourseWeb.com ] Microsoft PolyBase Hadoop and Blob Storage - Processing Big Data and Cloud Objects.zip 394.5 MB

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【影视】 [CourseClub.Me] O'Reilly - Designing Data Structures in Python

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5. Recursive Structures/19. Balancing Binary Trees.mp4 471.6 MB
3. Ubiquitous Lists/8. Example - Circular Buffer.mp4 409.2 MB
2. Fundamentals/2. Built-in Data Types.mp4 396.5 MB
5. Recursive Structures/14. Binary Tree.mp4 376.2 MB
8. Spatial Data Structures/26. KD-Trees.mp4 355.5 MB
2. Fundamentals/4. Analysis Techniques.mp4 353.2 MB
2. Fundamentals/5. Design Principles for Data Structures.mp4 350.3 MB
4. Pointer Structures/10. Linked Lists.mp4 331.2 MB
5. Recursive Structures/15. Implementation of Remove.mp4 299.3 MB
3. Ubiquitous Lists/9. Project - Moving Average _ Stdev.mp4 278.3 MB
6. Heap-based Structures/20. Heaps _ heapq.mp4 255.8 MB
3. Ubiquitous Lists/6. Using lists to Implement Stack.mp4 247.7 MB
4. Pointer Structures/13. Prefix Tree.mp4 247.4 MB
7. Graph Representation/23. Graphs with Adjacency Matrices.mp4 245.1 MB
5. Recursive Structures/18. Binary Tree Extension.mp4 243.6 MB
8. Spatial Data Structures/27. Quad-Trees.mp4 195.2 MB
6. Heap-based Structures/21. Project - Huffman Encoded.mp4 193.1 MB
6. Heap-based Structures/22. Binary Heap.mp4 172.5 MB
7. Graph Representation/25. Third Party Python Libraries.mp4 167.2 MB
5. Recursive Structures/16. Binary Tree Retrieval Methods.mp4 164.5 MB

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【影视】 [08-2020] python-data-science-machine-learning-bootcamp

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04 Introduction to Optimisation and the Gradient Descent Algorithm/036 [Python] - Loops and the Gradient Descent Algorithm.mp4 471.0 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/037 [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 468.5 MB
12 Serving a Tensorflow Model through a Website/198 Introduction to OpenCV.mp4 453.3 MB
12 Serving a Tensorflow Model through a Website/200 Calculating the Centre of Mass and Shifting the Image.mp4 425.6 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/169 Model Evaluation and the Confusion Matrix.mp4 384.2 MB
03 Python Programming for Data Science and Machine Learning/021 [Python] - Module Imports.mp4 366.5 MB
11 Use Tensorflow to Classify Handwritten Digits/183 Different Model Architectures_ Experimenting with Dropout.mp4 352.1 MB
05 Predict House Prices with Multivariable Linear Regression/068 Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 350.7 MB
12 Serving a Tensorflow Model through a Website/193 Loading a Tensorflow.js Model and Starting your own Server.mp4 336.9 MB
12 Serving a Tensorflow Model through a Website/195 Styling an HTML Canvas.mp4 327.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/038 [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 317.0 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/167 Use the Model to Make Predictions.mp4 314.6 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/040 How to Create 3-Dimensional Charts.mp4 308.6 MB
12 Serving a Tensorflow Model through a Website/196 Drawing on an HTML Canvas.mp4 305.1 MB
10 Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/166 Use Regularisation to Prevent Overfitting_ Early Stopping & Dropout Techniques.mp4 301.0 MB
12 Serving a Tensorflow Model through a Website/199 Resizing and Adding Padding to Images.mp4 300.2 MB
12 Serving a Tensorflow Model through a Website/202 Adding the Game Logic.mp4 299.9 MB
04 Introduction to Optimisation and the Gradient Descent Algorithm/039 Understanding the Learning Rate.mp4 294.2 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/141 Visualising the Decision Boundary.mp4 290.8 MB
08 Test and Evaluate a Naive Bayes Classifier_ Part 3/146 A Naive Bayes Implementation using SciKit Learn.mp4 283.7 MB

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【影视】 Udacity - Data Analyst Nanodegree nd002 v8.0.0

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Part 15-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-qRv1wrtgsmM.mp4 118.9 MB
Part 15-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-i3RTW83wI1Q.mp4 112.4 MB
Part 15-Module 02-Lesson 08_Technical Interview - Python/07. Coding-zhQYREUI8Z0.mp4 110.1 MB
Part 15-Module 02-Lesson 08_Technical Interview - Python/08. Coding 2-qEteyPNRSwU.mp4 109.7 MB
Part 16-Module 01-Lesson 06_Datasets and Questions/01. Introduction-TdopVWltgqM.mp4 92.2 MB
Part 15-Module 01-Lesson 05_Interview Practice/03. Free Throw Probability-Zyq0FQ0XO3o.mp4 59.4 MB
Part 15-Module 01-Lesson 05_Interview Practice/04. Query a SQL database-UVSFLWdAKl4.mp4 53.6 MB
Part 15-Module 01-Lesson 03_Interview Fails/04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.mp4 52.2 MB
Part 07-Module 01-Lesson 07_Explore Many Variables/16. Sean's NFL Fan Sentiment Study-ahaxt6UKxQw.mp4 52.0 MB
Part 03-Module 04-Lesson 01_Investigate a Dataset/05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.mp4 51.8 MB
Part 15-Module 01-Lesson 05_Interview Practice/02. Describe your latest data project-cXluuqCVg18.mp4 44.2 MB
Part 15-Module 01-Lesson 02_Practice Behavioral Questions/06. A Problem and How You Dealt With It-7IKqdW30GvQ.mp4 42.7 MB
Part 16-Module 01-Lesson 06_Datasets and Questions/03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.mp4 36.5 MB
Part 07-Module 01-Lesson 01_What is EDA/09. Aude Explores Coordinated Migration-7ihp6ofAJG8.mp4 36.4 MB
Part 15-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-Uy89Ff49pRc.mp4 34.9 MB
Part 13-Module 01-Lesson 01_Develop Your Personal Brand/04. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
Part 16-Module 01-Lesson 13_PCA/31. Eigenfaces Code-LgLYw-G4sLQ.mp4 34.0 MB
Part 15-Module 02-Lesson 08_Technical Interview - Python/05. Brainstorming-LJFYhMDCCsU.mp4 33.2 MB
Part 15-Module 02-Lesson 08_Technical Interview - Python/09. Debugging-Bz1tlvkql9Q.mp4 32.6 MB
Part 16-Module 01-Lesson 14_Validation/10. Practical Advice for K-Fold in sklearn-COVRSk0GDEE.mp4 32.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Alteryx Self-Service Data Analytics - A Beginner's Course.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Data Science Real-World Use Cases - Hands On Python.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Spatial Analysis & Geospatial Data Science in Python.zip

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[ FreeCourseWeb.com ] Udemy - Spatial Analysis & Geospatial Data Science in Python.zip 818.4 MB

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