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.
Link below for Installing Python using Anaconda:
https://www.youtube.com/watch?v=6jD-hO11jmg&list=PLebIePPSm5kjkRSPjxEBeZnY-SlWmEkcb&index=3&t=85s
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
Link to Machine Learning playlist:
https://www.youtube.com/playlist?list=PLebIePPSm5khqb2OE1ZmELWaxASQR1AEI
Link to Python playlist:
https://www.youtube.com/playlist?list=PLebIePPSm5kjkRSPjxEBeZnY-SlWmEkcb
Link to Chatbot playlist:
https://www.youtube.com/playlist?list=PLebIePPSm5khXjuwDEEjrFGjwNYB93_q5
Link to Pandas playlist:
https://www.youtube.com/playlist?list=PLebIePPSm5kiS86mIRKHJuX9w2I3okZV5
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