Chapter 2 : SVM (Support Vector Machine) — Theory

Chapter 3 : Decision Tree Classifier — Theory

Welcome to third basic classification algorithm of supervised learning. Decision…

Chapter 1 : Supervised Learning and Naive Bayes Classification — Part 1 (Theory)

Chapter 5: Random Forest Classifier

Random Forest Classifier is ensemble algorithm. In next one or two posts we shall explore such…

Chapter 2 : SVM (Support Vector Machine) — Coding

Chapter 1 : Supervised Learning and Naive Bayes Classification — Part 2 (Coding)

Chapter 6: Adaboost Classifier

Ada-boost, like Random Forest Classifier is another ensemble classifier. (Ensemble classifier are made up…

Chapter 4: K Nearest Neighbors Classifier

The fourth and last basic classifier in supervised learning! K nearest Neighbors. In…

Chapter 3 : Decision Tree Classifier — Coding

In this second part we try to explore sklearn library’s decision tree…

Chapter 0 : What is machine learning?

Lets enter into the world of Machine learning! This is introductory post. You may skip this one to dive into direct technical part. Although, I would recommend you to scan through this one as well so that it can get you clear, in what directions lessons would…