This post discusses decision trees for regression from a machine learning point of view and includes a python implementation of the same.
Introduction to clustering and the K-Means clustering algorithm. We will also implement color-quantization using K-Means.
In this post, we shall discuss the working of a reinforcement learning model and create our own reinforcement learning model in python, trained to play a game of Gridworld.
This post explains Artificial Neural Networks and discusses a famous classification problem.
This post discusses the working of a k-NN classification algorithm and includes the training and testing of a k-NN classifier in python using scikit-learn.