Feature Selection Wrapper and Embedded techniques Feature Selection Playlist

VIF application in python course, in this course dives into the fundamentals of Variance Inflation Factor (VIF) and its application in Python to detect and address multicollinearity in regression models. Learn how multicollinearity affects model accuracy and discover effective techniques to mitigate it. Through hands-on examples, explore the use of Python libraries like Statsmodels and Pandas to compute VIF values for independent variables, interpret the results, and improve model performance. Gain practical insights into feature selection and data preprocessing strategies for building robust statistical and machine learning models. Whether you are a beginner or an advanced user, this course equips you with essential skills to enhance the quality of your predictive models.