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