Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
JSTOR Daily

Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...
Investopedia

Understanding Multi-Factor Models: Key Concepts and Formula Explained

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, ...
Investopedia

Stepwise Regression Explained: Uses, Benefits, and Drawbacks

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...