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Binary Logistic Regression Tutorial

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Binary logistic regression is a machine learning algorithm most useful when we want to model the event probability for a categorical response variable with two outcomes (yes/no, true/false, etc.). In this video we'll build a sentiment classifier app that uses binary logistic regression to classify tweets as either happy, sad, or neutral. I'll use animations, code, rap, skits, and equations to explain how it all works. Enjoy!
Code for this video:
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Code for this video:
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
This video is apart of my Machine Learning Journey course:
More Learning Resources:
Join us in the Wizards Slack channel:
Sign up for the next course at The School of AI:
And please support me on Patreon:
Original repo:
Signup for my newsletter for exciting updates in the field of AI:
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