Introduction to Linear Regression using scikit-learn

In this video I introduce using Linear Regression with scikit-learn and go over the classical example provided in the documentation here: https://scikit-learn.org/stable/auto_examples/linear_model/plot_ols.html . This example covers using scikit learn to run linear regression on the included Diabetes dataset. It prepares you for my own example that is provided in the next video. The video also reviews using matplotlib to plot the results and how to quantify how effective your model performed by going over Root Mean Squared Error and Mean Absolute Error.

Useful Reference(s):
https://scikit-learn.org/stable/auto_examples/linear_model/plot_ols.html
https://scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.htm #sphx-glr-auto-examples-model-selection-plot-underfitting-overfitting-py
https://www.kdnuggets.com/2019/03/beginners-guide-linear-regression-python-scikit-learn.html
https://en.wikipedia.org/wiki/Root-mean-square_deviation
https://en.wikipedia.org/wiki/Mean_absolute_error
https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html



Credits where Credits are Due:
-Subscribe End Screen: Graphicki https://www.youtube.com/watch?v=zv8Ek1dBJTc
-Live Animation: Motion Chroma | Leader https://www.youtube.com/watch?v=80wavzrN00c
-Music: Song: Without You, Artist: MNRVA, youtube.com/XimerTracks
-Streaming Software: OBS


Thank you for watching!