Introduction to Logistic Regression using scikit-learn
In this video I introduce using Logistic Regression (Classification) with scikit-learn and go over the classical example provided in the documentation here: https://scikit-learn.org/stable/auto_... . This example covers using scikit learn to run 3-class classification on the included Iris Flower dataset. It prepares you for my own example that is provided in the next video. The video also reviews some of the theory behind Logistic Regression such as understanding local versus global optima and the concept of minimizing the error with the cost function. I also briefly go over the different solvers used to do so.
Useful Reference(s):
https://scikit-learn.org/stable/modul...
https://scikit-learn.org/stable/auto_...
https://scikit-learn.org/stable/modul...
https://machinelearninghd.com/wp-cont...
https://towardsdatascience.com/dont-s...
https://stackoverflow.com/questions/3...
Credits where Credits are Due:
-Subscribe End Screen: Graphicki • Video
-Live Animation: Motion Chroma | Leader • Livestream Intro [Free to Use] ♥
-Music: Song: Without You, Artist: MNRVA, / ximertracks
-Streaming Software: OBS
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