Handling Multicollinearity with Ridge Regression in Python
Offered By: NPTEL-NOC IITM via YouTube
Course Description
Overview
Learn to implement Ridge Regression using Python and scikit-learn to effectively handle multicollinearity in your data analysis. Gain practical experience through hands-on coding exercises and discover how to apply Ridge correction techniques to improve the accuracy and reliability of your regression models.
Syllabus
Hands on with Python : Handle multicollinearity with Ridge correction
Taught by
NPTEL-NOC IITM
Related Courses
Utilisez des modèles supervisés non linéairesCentraleSupélec via OpenClassrooms Supervised Machine Learning: Regression
IBM via Coursera General Linear Models - Regression
statisticsmatt via YouTube Machine Learning
YouTube Regularization Part 1 - Ridge (L2) Regression
StatQuest with Josh Starmer via YouTube