Even More Python for Beginners - Data Tools

Even More Python for Beginners - Data Tools

Microsoft Developer via YouTube Direct link

Series 2 Intro

1 of 31

1 of 31

Series 2 Intro

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Even More Python for Beginners - Data Tools

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  1. 1 Series 2 Intro
  2. 2 What Are Jupyter Notebooks
  3. 3 Intro To Anaconda And Conda
  4. 4 Intro To Anaconda And Conda Demo
  5. 5 Getting Started With Pandas
  6. 6 Getting Started With Pandas Demo
  7. 7 Examining Pandas Data Frame Contents
  8. 8 Examining Pandas Data Frame Contents demo
  9. 9 Query A Data Frame
  10. 10 Query A Data Frame Demo
  11. 11 CSV File And Jupyter Notebooks
  12. 12 CSV File And Jupyter Notebooks Demo
  13. 13 Read And Write CSV Files From Pandas Data Frames
  14. 14 Read And Write CSV Files From Pandas Data Frames Demo
  15. 15 Removing And Splitting Data Frame Columns
  16. 16 Removing And Splitting Data Frame Columns Demo
  17. 17 Handling Duplicates And Rows With Missing Values
  18. 18 Handling Duplicates And Rows With Missing Values Demo
  19. 19 Splitting Test And Training Data With Scikit-learn
  20. 20 Splitting Test And Training Data With Scikit-learn Demo
  21. 21 Train A Linear Regression Model With Scikit-Learn
  22. 22 Train A Linear Regression Model With Scikit-Learn Demo
  23. 23 Testing A Model
  24. 24 Testing A Model Demo
  25. 25 Evaluating Accuracy Of A Model Using Calculations
  26. 26 Evaluating Accuracy Of A Model Using Calculations Demo
  27. 27 Numpy Vs Pandas
  28. 28 Numpy Vs Pandas Demo
  29. 29 Visualizing DataWith Matplotlib
  30. 30 Visualizing DataWith Matplotlib Demo
  31. 31 Thank You!

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