⬇ Get the files and follow along: https://bit.ly/4hfiGYy

Logistic regression is an OG data analysis technique that is useful for ANY professional.

This crash course is designed for a wide audience.

Rather than focus on the math details, this crash course builds your intuition of the how and why of logistic regression.

You will also learn how to use the statsmodels library in Python to perform logistic regression analyses.


☕ If you found this content useful and would like to support the channel, you can buy me a coffee: https://www.buymeacoffee.com/DaveOnData



Save 20% off my machine learning online course

Learn decision trees and the mighty random forest.
Use coupon YOUTUBE: https://bit.ly/TDWIIntroToML

COMING SOON Cluster Analysis with Python



Book links

Intro to Statistical Learning:
https://www.statlearning.com/

Discovering Statistics with R:
https://www.amazon.com/DiscoveringSt...



Video Chapters

00:00 Intro
00:45 Why Learn Logistic Regression?
07:48 The Dataset
10:00 What Is a Model?
15:22 An Example Model
20:26 The Logistic Curve
22:44 Putting It All Together
25:41 Your First Model
28:12 What’s the Baseline?
32:40 Goodness of Fit
40:53 Logistic Regression with Python
45:53 When Simple Won’t Do
49:08 Interpreting Your Models
52:49 Interpreting Coefficients
56:27 Continue Your Learning

#machinelearning #logisticregression #datascience