This machine learning series explains step by step coding for a simple linear regression. Experience vs Income data available in Kaggle is used to train the linear regression model.
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INDEX for this video:
0:09 Introduction to Simple Linear Regression
3:09 What is Least Square Method
3:53 What is R-Squared
5:25 Download dataset from Kaggle
6:16 Using pandas to read the dataset
7:32 Using matplotlib, visualize the data
8:55 Use sklearn package to do the linear regression
10:45 Predict income given experience in years
12:49 use matplotlib to check how model fits to datapoints
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