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Learning Python for Data Science [Video]

  • 收录时间:2019-05-08 15:26:38
  • 文件大小:673MB
  • 下载次数:165
  • 最近下载:2021-01-15 15:54:55
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文件列表

  1. 4.Data Preparation and Manipulation with Pandas/13.Read in Data Files.mp4 103MB
  2. 4.Data Preparation and Manipulation with Pandas/12.Create DataFrames.mp4 64MB
  3. 7.Building Machine Learning Models with Scikit-learn/24.Linear Regression.mp4 43MB
  4. 8.Model Evaluation and Selection/30.Preparing Data for Machine Learning.mp4 32MB
  5. 5.Visualizing Data with Matplotlib and Seaborn/19.Graphs with Seaborn.mp4 30MB
  6. 1.Beginning the Data Science Journey/02.What Is Data Science.mp4 28MB
  7. 8.Model Evaluation and Selection/34.Grid Search.mp4 25MB
  8. 3.Understanding Numerical Operations with NumPy/09.2D Arrays with NumPy.mp4 24MB
  9. 5.Visualizing Data with Matplotlib and Seaborn/17.Matplotlib Introduction.mp4 22MB
  10. 3.Understanding Numerical Operations with NumPy/10.Functions in NumPy.mp4 21MB
  11. 5.Visualizing Data with Matplotlib and Seaborn/20.Graphs with Pandas.mp4 20MB
  12. 7.Building Machine Learning Models with Scikit-learn/25.Logistic Regression.mp4 19MB
  13. 7.Building Machine Learning Models with Scikit-learn/26.K-Nearest Neighbors.mp4 18MB
  14. 8.Model Evaluation and Selection/31.Performance Metrics.mp4 18MB
  15. 3.Understanding Numerical Operations with NumPy/11.Random Numbers and Distributions in NumPy.mp4 17MB
  16. 5.Visualizing Data with Matplotlib and Seaborn/18.Graphs with Matplotlib.mp4 16MB
  17. 8.Model Evaluation and Selection/32.Bias-Variance Tradeoff.mp4 15MB
  18. 4.Data Preparation and Manipulation with Pandas/16.Summarizing and Grouping Data.mp4 14MB
  19. 3.Understanding Numerical Operations with NumPy/08.1D Arrays with NumPy.mp4 14MB
  20. 8.Model Evaluation and Selection/33.Cross-Validation.mp4 14MB
  21. 7.Building Machine Learning Models with Scikit-learn/27.Decision Trees.mp4 13MB
  22. 4.Data Preparation and Manipulation with Pandas/14.Subsetting DataFrames.mp4 13MB
  23. 4.Data Preparation and Manipulation with Pandas/15.Boolean Indexing in DataFrames.mp4 12MB
  24. 7.Building Machine Learning Models with Scikit-learn/28.Random Forest.mp4 12MB
  25. 2.Introducing Jupyter/05.Starting Jupyter.mp4 10MB
  26. 7.Building Machine Learning Models with Scikit-learn/29.K-Means Clustering.mp4 9MB
  27. 6.Introduction to Machine Learning and Scikit-learn/23.Introduction to Scikit-learn.mp4 7MB
  28. 6.Introduction to Machine Learning and Scikit-learn/21.Machine Learning.mp4 7MB
  29. 6.Introduction to Machine Learning and Scikit-learn/22.Types of Machine Learning.mp4 6MB
  30. 2.Introducing Jupyter/07.Markdown Syntax.mp4 5MB
  31. 1.Beginning the Data Science Journey/03.Python Data Science Ecosystem.mp4 4MB
  32. 8.Model Evaluation and Selection/35.Wrap Up.mp4 4MB
  33. 2.Introducing Jupyter/06.Basics of Jupyter.mp4 4MB
  34. 1.Beginning the Data Science Journey/01.The Course Overview.mp4 4MB
  35. Exercise Files/code_34313.zip 3MB
  36. 2.Introducing Jupyter/04.Installing Anaconda.mp4 3MB