Binary Logistic Regression Tutorial

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: https://github.com/llSourcell/logistic_regression Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval instagram: https://www.instagram.com/sirajraval Facebook: https://www.facebook.com/sirajology This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine... More Learning Resources: https://github.com/awesomedata/awesome-public-datasets http://www.statisticssolutions.com/what-is-logistic-regression/ https://codesachin.wordpress.com/2015/08/16/logistic-regression-for-dummies/ https://www.youtube.com/watch?v=zAULhNrnuL4 https://machinelearningmastery.com/logistic-regression-for-machine-learning/ https://towardsdatascience.com/the-logistic-regression-algorithm-75fe48e21cfa Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Sign up for the next course at The School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 Original repo: https://github.com/guillermo-carrasco/logistic-sentiment