Complete Logistic Regression Classifier with Python Code || Machine Learning using Scikit-learn
Using linear regression for classification problems is prone to outliers
Logistic Regression using sigmoid squashing comes to the rescue.
In this video we shall understand what logistic regression is and how squashing helps us solve the challenges associated with outliers in linear regression.
We shall also learn about logloss and how it suits the problem of probabilistic outputs.
Watch the video to learn more
Video summary
00:00 - Introduction
01:00 - Agenda
02:34 - Logistic regression (Binary vs Multiclass)
04:10 - Why Linear Regression fails??
08:18 - Squashing
12:40 - logloss
21:13 - thought for the week
21:49 - Summary and Implementation
References
Summary slides: https://docs.google.com/presentation/...
squashing and its use: https://www.aitude.com/comparison-of-...
implementation: https://scikit-learn.org/stable/modul...
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