Data Analytics Computing: Logistic Regression And Classification With Python

In this video, I will cover the basics of computing for Logistic Regression in Python Dataset used for this video: https://www.kaggle.com/datasets/thedevastator/know-your-worth-tech-salaries-in-2016 A comprehensive coverage of Logistic Regression can be found in An Introduction to Statistical Learning, Chapter 4: https://www.statlearning.com/ Basics of reading data into Python: https://www.w3schools.com/python/pandas/pandas_csv.asp How to install Anaconda and Spyder on your computer: https://docs.anaconda.com/anaconda/install/index.html A more in-depth description of the theory behind Logistic Regression: http://faculty.cas.usf.edu/mbrannick/regression/Logistic.html Link to the code used in this video: https://github.com/Aurelius2500/Logistic-Regression Chapters: 0:00 Introduction And Data 9:26 Why not Linear Regression? 15:08 Logistic Regression