Machine Learning

PCA: Application in Machine Learning

An applied introduction to using Principal Component Analysis in machine learning

Introduction to XGBoost

Boosting is an approach used to increase the predictive power of classical decision and regression tree models…

Evaluating Multi-Class Classifiers

Introduction

Hyper-parameter Optimization

Strategies for tuning your models in Python’s sklearn using grid search…