In-Depth Tutorial: Linear Regression for Machine Learning This tutorial is structured to take you from understanding the theory to implementing and evaluating linear regression models. We’ll also explore variations like multiple and polynomial regression, and I’ll provide practical tips to avoid common pitfalls. Top 5 Machine Learning algorithm: Regression: Simple Linear Regression Multiple Linear Regression Polynomial Regression Ridge and Lasso Regression Support Vector Regression Classification: Linear Models Logistic Regression Support Vector Machines Non-linear Models K-Nearest Neighbours Kernel SVM Native Bayes Decision Tree Classification Random Forest Classification Table of Contents 1. Understanding Linear Regression - What is Linear Regression? - The Math Behind It - Linear Regression in Supervised Learning 2. Key Concepts and Assumptions - Assumptions of Linear Regressio...
Hi, I'm Shiva Gautam. With over 15 years of diverse experience in various IT domains, I am now an entrepreneur focusing on both training and software development. My expertise spans across multiple technologies, and I've authored numerous articles on subjects including Java, Python, REACT, NODE, ANGULAR, Cloud, software testing, Django framework, C#, Flutter, Salesforce, Ruby on Rails, .NET, and more. For additional information, please visit shivaconceptsolution.com and kangaroosoftware.net.