Geometry of Regression Model and Feature Engineering
Offered By: NPTEL-NOC IITM via YouTube
Course Description
Overview
Explore the geometric aspects of regression models and delve into feature engineering in this 27-minute lecture. Learn how basis expansion in mathematical statistics relates to feature engineering in machine learning. Discover techniques for transforming original data into higher dimensions to find better linear hyper-plane fits, potentially revealing non-linear relationships between feature spaces and target variables. Examine practical examples that illustrate these concepts and their applications in data analysis and predictive modeling.
Syllabus
Geometry of Regression Model and Feature Engineering
Taught by
NPTEL-NOC IITM
Related Courses
Statistics OnePrinceton University via Coursera Intro to Statistics
Stanford University via Udacity Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)
The Chinese University of Hong Kong via Coursera Statistics in Medicine
Stanford University via Stanford OpenEdx Análisis Estadístico Básico con SPSS
Universidad de Cantabria via Miríadax