Machine Learning: Linear Regression | How to evaluate the model, error metrics with examples
This is the last video of the theoretical part of the video series. I explained the way of evaluating the linear regression model, which error metrics are available. Also, I used them with examples to make them clear and more understandable.
Next video will be hands-on part. I will show a python example on Jupyter Notebook. We will implement what we learned in the previous videos.
#machinelearning #linearregression #errormetrics #meansquarederror
Timecode:
0:00 Intro - How to evaluate the linear regression models
0:59 Mean Squared Error
1:43 Root Mean Squared Error
1:52 Mean Absolute Error
2:08 R Squared - R2
3:59 Error metrics with examples
7:22 Important notes
8:18 Closing