Effect of Feature Engineering in Logistic Regression

Offered By: NPTEL-NOC IITM via YouTube

Course Description

Overview

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Explore the impact of feature engineering on logistic regression in this 20-minute video lecture. Delve into key concepts such as the sigmoid curve, non-monotonic relationships, and sinusoidal patterns. Gain insights into statistical learning techniques and their application in logistic regression models. Learn how to effectively manipulate and transform features to improve model performance and capture complex relationships in your data.

Syllabus

Intro
Sigmoid Curve
Introduction to Statistical Learning
NonMonotonic Relationship
Sinusoidal Relationship
Logistic Regression
Conclusion

Taught by

NPTEL-NOC IITM

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