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【影视】 [FreeAllCourse.Com] Udemy - Learning Python for Data Analysis and Visualization

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9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
10. Machine Learning/16. Decision Trees and Random Forests.mp4 160.4 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.1 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 62.6 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB

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【影视】 [Tutorialsplanet.NET] Udemy -Snort Intrusion Detection, Rule Writing, and PCAP Analysis

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2. Hands-on Labs/1. Lab 1 Setting up Security Onion with VirtualBox.mp4 188.4 MB
2. Hands-on Labs/2. Lab 2 Boleto Malware Snort Rule Writing and PCAP Analysis.mp4 63.0 MB
2. Hands-on Labs/8. Lab 8 Windows 7 Eternalblue Exploitation and SnortPCAP Analysis.mp4 62.6 MB
2. Hands-on Labs/11. Lab 11 Ubuntu Server 12.04 Heartbleed Exploitation and SnortPCAP Analysis.mp4 50.1 MB
2. Hands-on Labs/10. Lab 10 Ubuntu Server 12.04 Vulnerable VM VirtualBox Setup.srt 28.7 MB
2. Hands-on Labs/10. Lab 10 Ubuntu Server 12.04 Vulnerable VM VirtualBox Setup.mp4 28.7 MB
2. Hands-on Labs/9. Lab 9 Eternalblue PCAP Analysis and Snort Rule Writing.mp4 28.5 MB
2. Hands-on Labs/5. Lab 5 Snort Rule Writing (SSH and FTP).mp4 26.6 MB
2. Hands-on Labs/12. Lab 12 Heartbleed PCAP Analysis and Snort Rule Writing.mp4 16.3 MB
2. Hands-on Labs/6. Lab 6 Kali Linux Setup with VirtualBox.mp4 15.1 MB
2. Hands-on Labs/4. Lab 4 Utilizing Offset and Depth in a Snort Rule.mp4 12.7 MB
2. Hands-on Labs/7. Lab 7 Windows 7 Eternalblue Vulnerable VM VirtualBox Setup.mp4 11.5 MB
2. Hands-on Labs/3. Lab 3 Vetting Snort Rule Quality With Dumbpig.mp4 10.1 MB
1. Lectures/1. Course Introduction and Overview.mp4 7.0 MB
1. Lectures/1.1 Snort Rule Writing Slides.pptx 1.2 MB
2. Hands-on Labs/1. Lab 1 Setting up Security Onion with VirtualBox.srt 21.3 kB
2. Hands-on Labs/8. Lab 8 Windows 7 Eternalblue Exploitation and SnortPCAP Analysis.srt 19.1 kB
2. Hands-on Labs/2. Lab 2 Boleto Malware Snort Rule Writing and PCAP Analysis.srt 17.1 kB
2. Hands-on Labs/5. Lab 5 Snort Rule Writing (SSH and FTP).srt 12.4 kB
2. Hands-on Labs/11. Lab 11 Ubuntu Server 12.04 Heartbleed Exploitation and SnortPCAP Analysis.srt 11.5 kB

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【影视】 Analysis.Paralysis.2018.P.WEB_DL.72Op.mkv

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Analysis.Paralysis.2018.P.WEB_DL.72Op.mkv 3.9 GB

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【影视】 [FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

收录时间:2021-03-17 文档个数:80 文档大小:924.3 MB 最近下载:2025-05-09 人气:1505 磁力链接

5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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【影视】 [FreeCourseSite.com] Udemy - Statistics for Data Science and Business Analysis

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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 86.5 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 65.9 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
11. Hypothesis testing Let's start testing!/7. Test for the mean. Dependent samples.mp4 52.9 MB

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【影视】 Lynda - Excel Supply Chain Analysis Solving Transportation Problems

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06. Practicing Transportation Problem Analysis/25. Solution-Which distribution centers to open.mp4 28.4 MB
06. Practicing Transportation Problem Analysis/27. Solution-Level of service constraints problem.mp4 27.7 MB
06. Practicing Transportation Problem Analysis/23. Solution-Analyze a transshipment problem.mp4 27.4 MB
03. Solving a Transshipment Problem/09. Define decision variables constraints and total cost.mp4 22.5 MB
04. Analyzing Fixed Costs and Facility Opening Decisions/13. Outline a linking constraint problem in Excel.mp4 21.5 MB
06. Practicing Transportation Problem Analysis/21. Solution-Analyze a transportation problem.mp4 19.1 MB
03. Solving a Transshipment Problem/10. Create and run the Solver model.mp4 18.4 MB
05. Enforcing Level of Service Constraints/19. Create and run the Solver model.mp4 17.7 MB
04. Analyzing Fixed Costs and Facility Opening Decisions/15. Create and run the Solver model.mp4 17.7 MB
05. Enforcing Level of Service Constraints/18. Calculate level of service metrics.mp4 15.8 MB
05. Enforcing Level of Service Constraints/17. Outline level of service constraint analysis in Excel.mp4 15.4 MB
03. Solving a Transshipment Problem/08. Outline a transshipment problem in Excel.mp4 14.0 MB
02. Solving a Transportation Problem/06. Create and run the Solver model.mp4 13.0 MB
03. Solving a Transshipment Problem/11. Evaluate a Solver solution.mp4 12.2 MB
02. Solving a Transportation Problem/04. Outline a transportation model in Excel.mp4 10.3 MB
04. Analyzing Fixed Costs and Facility Opening Decisions/14. Implement linking constraints in Excel.mp4 10.1 MB
02. Solving a Transportation Problem/05. Define decision variables constraints and total cost.mp4 9.7 MB
04. Analyzing Fixed Costs and Facility Opening Decisions/12. Describe fixed cost and facility opening problems.mp4 5.1 MB
03. Solving a Transshipment Problem/07. Describe the transshipment problem.mp4 4.6 MB
06. Practicing Transportation Problem Analysis/22. Challenge-Analyze a transshipment problem.mp4 4.5 MB

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【影视】 [DesireCourse.Com] Udemy - Microsoft Excel - Master Data Analysis, Pivot Tables and BI

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6. Pivot Table/6. Frequency Distribution.mp4 108.7 MB
5. Data Charts/6. Advance Data Charts Continues.mp4 107.0 MB
2. Filtering/3. Advance Filtering Data.mp4 99.3 MB
5. Data Charts/5. Advance Data Charts.mp4 99.3 MB
7. Calculated Fields and Data Table/1. Calculated Fields.mp4 93.9 MB
2. Filtering/2. Example of Filtering the Data.mp4 91.1 MB
5. Data Charts/2. More on Data Chart.mp4 90.5 MB
5. Data Charts/8. Trend Lines and Error Bars In Data Chart.mp4 90.2 MB
3. Conditional Formatting/2. Edit Conditional Formatting Rules.mp4 89.9 MB
7. Calculated Fields and Data Table/7. Two Variable Data Table.mp4 89.1 MB
1. Introduction/1. Introduction to Business Intelligence.mp4 85.5 MB
7. Calculated Fields and Data Table/6. One Variable Data Table.mp4 85.3 MB
3. Conditional Formatting/1. Conditional Formatting in Excel.mp4 82.0 MB
5. Data Charts/3. Bar Chart and Line Chart.mp4 80.0 MB
5. Data Charts/4. Pie Chart Nd Its Difference.mp4 78.7 MB
2. Filtering/1. Filtering Data in BI.mp4 77.3 MB
2. Filtering/4. Advance Filtering Data Continues.mp4 76.3 MB
6. Pivot Table/5. Multi Level Pivot Table.mp4 75.5 MB
3. Conditional Formatting/4. Duplicates and Triplicates Formatting.mp4 73.0 MB
1. Introduction/2. Sorting in Business Intelligence.mp4 72.9 MB

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【影视】 [DesireCourse.Net] Udemy - Data Analysis with Pandas and Python

收录时间:2021-03-16 文档个数:402 文档大小:4.1 GB 最近下载:2025-05-15 人气:1257 磁力链接

1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
4. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
10. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
10. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
3. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
5. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
2. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
5. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
10. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
3. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
11. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB
1. Installation and Setup/12. Windows - Unpack Course Materials + The Startdown and Shutdown Process.mp4 49.7 MB
7. MultiIndex/6. Extract Rows from a MultiIndex DataFrame.mp4 49.3 MB
11. Input and Output in pandas/7. Export Excel File with the to_excel Method.mp4 49.3 MB
2. Series/19. Extract Series Values by Index Label.mp4 48.5 MB
5. DataFrames III Data Extraction/5. Passing second arguments to the loc and iloc Accessors.mp4 48.1 MB

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【影视】 Master Clustering Analysis for Data Science using Python [UdemyLibrary.com]

收录时间:2021-03-16 文档个数:71 文档大小:1.8 GB 最近下载:2025-05-16 人气:2428 磁力链接

7. Applications of Clustering/6. Classification using clustering.mp4 138.3 MB
6. HDBSCAN Clustering/5. HDBSCAN for handling noise.mp4 97.2 MB
3. Mean Shift Clustering/5. Mean Shift Performance in Cases where Kmean Fails (Part 2).mp4 94.0 MB
2. KMeans Clustering/5. KMeans in Python (Part 1).mp4 91.0 MB
4. DBSCAN Clustering/5. DBSCAN on clusters with different shapes and densities.mp4 83.6 MB
4. DBSCAN Clustering/3. DBSCAN in python.mp4 81.9 MB
7. Applications of Clustering/3. Image Compression (Part 2).mp4 81.2 MB
2. KMeans Clustering/8. KMeans Limitations - (Part-2-Clusters with non spherical shapes).mp4 77.9 MB
3. Mean Shift Clustering/4. Mean Shift Performance in Cases where Kmean Fails (Part 1).mp4 70.4 MB
2. KMeans Clustering/7. KMeans Limitations - (Part 1-Clusters with different sizes).mp4 70.1 MB
5. Hierarchical Clustering/4. Hierachical Clustering in python.mp4 66.2 MB
6. HDBSCAN Clustering/2. Intuition of HDBSCAN.mp4 66.2 MB
3. Mean Shift Clustering/3. Mean Shift in Python.mp4 65.7 MB
2. KMeans Clustering/4. Choosing the right number of clusters.mp4 62.5 MB
7. Applications of Clustering/4. Clustering Sentences (Part 1).mp4 59.8 MB
6. HDBSCAN Clustering/3. HDBSCAN in Python.mp4 59.6 MB
7. Applications of Clustering/2. Image Compression (Part 1).mp4 56.6 MB
5. Hierarchical Clustering/3. Hierarchical Clustering Intuition (Part 2).mp4 54.7 MB
7. Applications of Clustering/5. Clustering Sentences (Part 2).mp4 54.1 MB
2. KMeans Clustering/6. KMeans in Python (Part 2).mp4 52.4 MB

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【影视】 GetFreeCourses.Co-Udemy-Business Analysis Fundamentals

收录时间:2021-03-15 文档个数:148 文档大小:3.7 GB 最近下载:2025-05-14 人气:3113 磁力链接

2. The Basics/1. What is a Business Analyst and what value do they provide.mp4 185.4 MB
4. Initiating a Project/5. Creating a Business Case [PART 2].mp4 177.3 MB
3. Software Development Lifecycles (SDLC)/7. Scrum [Agile] PART 2.mp4 171.9 MB
8. Requirement Specification/5. Prioritizing Requirements.mp4 169.9 MB
3. Software Development Lifecycles (SDLC)/6. Scrum [Agile] PART 1.mp4 160.6 MB
8. Requirement Specification/4. Assigning Requirement Attributes.mp4 152.6 MB
3. Software Development Lifecycles (SDLC)/4. Incremental.mp4 147.8 MB
3. Software Development Lifecycles (SDLC)/5. Spiral.mp4 142.9 MB
5. Requirement Basics/6. Business Rules.mp4 112.9 MB
9. Requirements Approval/3. Gaining the Technical Approval.mp4 108.4 MB
9. Requirements Approval/2. Gaining the Business Approval.mp4 103.4 MB
7. Requirement Analysis/2. Visual Modeling Concepts.mp4 103.4 MB
10. After the Project/1. Conducting a Project Review.mp4 98.1 MB
7. Requirement Analysis/4. Technical Models.mp4 97.9 MB
7. Requirement Analysis/3. Business Models.mp4 88.9 MB
9. Requirements Approval/4. Gaining Sponsor or Committee Approval.mp4 84.8 MB
7. Requirement Analysis/5. BPMN vs UML.mp4 77.5 MB
8. Requirement Specification/3. Deriving Requirements.mp4 72.1 MB
3. Software Development Lifecycles (SDLC)/3. Waterfall.mp4 68.7 MB
2. The Basics/4. Types of Business Analyst Roles.mp4 67.0 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

收录时间:2021-03-15 文档个数:411 文档大小:4.5 GB 最近下载:2024-11-03 人气:417 磁力链接

1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
6. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
2. BONUS Python Crash Course/7. Custom Functions.mp4 59.2 MB
2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4 58.3 MB
11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
2. BONUS Python Crash Course/11. Dictionaries.mp4 56.4 MB
2. BONUS Python Crash Course/4. Operators.mp4 53.1 MB
4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB

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【影视】 Applied Text Mining and Sentiment Analysis with Python

收录时间:2021-03-15 文档个数:145 文档大小:1.0 GB 最近下载:2025-05-14 人气:4107 磁力链接

[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/1. Course Preview/1. Preview.mp4 73.4 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/3. Text Normalization/4. (Python Practice) Cleaning Twitter Features.mp4 39.9 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/5. Sentiment Analysis/3. Logistic Regression.mp4 39.3 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/5. Sentiment Analysis/4. ML Model Training.mp4 35.5 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/5. Sentiment Analysis/7. Model Performance Measures.mp4 35.1 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/3. Text Normalization/6. (Python Practice) Cleaning General Features.mp4 32.3 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/5. Sentiment Analysis/6. (Python Practice) ML Model Fitting.mp4 30.9 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/4. Text Vectorization/6. (Python Practice) Applied Bag-of-Words.mp4 30.5 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/2. Introduction to Text Mining/1. Section Overview.mp4 30.5 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/3. Text Normalization/7. Tokenization.mp4 27.5 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/4. Text Vectorization/7. TF-IDF.mp4 24.6 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/4. Text Vectorization/3. PositiveNegative Word Frequencies.mp4 24.4 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/4. Text Vectorization/1. Section Overview.mp4 23.6 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/2. Introduction to Text Mining/10. (Python Practice) Dataset Visualization.mp4 23.3 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/3. Text Normalization/3. Text Cleaning (12) - Twitter Features.mp4 23.3 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/2. Introduction to Text Mining/8. (Python Practice) Dataset Connection.mp4 22.3 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/4. Text Vectorization/4. (Python Practice) Applied PositiveNegative Frequencies.mp4 22.0 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/2. Introduction to Text Mining/2. What is Text.mp4 21.5 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/4. Text Vectorization/5. Bag-of-Words.mp4 20.6 MB
[TutsNode.com] - Applied Text Mining and Sentiment Analysis with Python/3. Text Normalization/2. What is Text Normalization.mp4 20.5 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Structure and Algorithms Analysis - Job Interview

收录时间:2021-03-15 文档个数:172 文档大小:1.5 GB 最近下载:2025-05-15 人气:1554 磁力链接

3. Data Structure/16. Key Phrase problem TF-IDF.mp4 161.5 MB
7. Tree Theory/5. Google Interview Determines if two BST are equal.mp4 123.0 MB
7. Tree Theory/4. Red-Black Tree.mp4 119.7 MB
10. Dynamic Programming/5. Knapsack solution in Java.mp4 94.7 MB
3. Data Structure/15. Find unique number in Array (Amazon Phone Screen Interview ).mp4 55.6 MB
1. Introduction and Settings/1. Introduction.mp4 54.8 MB
8. Graph Theory/3. DFS implementation in Java.mp4 38.2 MB
3. Data Structure/14. Hash-Table implementation in Java.mp4 35.9 MB
3. Data Structure/17. Stack.mp4 33.0 MB
6. Sorting Algorithms/10. Heap Sort implementation in Java.mp4 27.0 MB
4. Collections In Java/7. Queue and Priority Queue.mp4 25.5 MB
3. Data Structure/7. Dynamic Array implementation in Java.mp4 24.6 MB
3. Data Structure/9. Linked List implementation in Java.mp4 23.9 MB
7. Tree Theory/2. Binary Search Tree implementation in Java.mp4 22.1 MB
3. Data Structure/24. Queue implementation in Java Use Linked List.mp4 21.9 MB
3. Data Structure/3. One-Dimension Array implementation in Java.mp4 21.5 MB
4. Collections In Java/8. Sort array of Objects.mp4 20.7 MB
9. Short Path in Graph Theory/3. A Algorithm.mp4 19.7 MB
3. Data Structure/4. Two-Dimension Array.mp4 18.9 MB
8. Graph Theory/1. Matrix and Adjacency List.mp4 18.6 MB

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03 Introduction to Time Series in Python/010 Introduction to Time-Series Data.mp4 49.5 MB
10 Modeling Non-Stationary Data The ARIMA Model/067 Seasonal Models - SARIMAX.mp4 49.2 MB
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