Description

A complete Beginner to Advanced level guide to Machine Learning. Hands-on Learning approach with in-depth math concepts

Understand and implement a Decision Tree in Python

Understand about Gini and Information Gain algorithm

Solve mathematical numerical related decision trees

Learn about regression trees

Learn about simple, multiple, polynomial, and multivariate regression

Learn about Ordinary Least Squares Algorithms

Solve numerically related to Ordinary Least Squares algorithm

Learn to create real-world predictions and classification projects

Learn about Gradient Descent

Learn about Logistic Regression and hyperparameters