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.
This post provides an introduction to R from a data visualisation point of view and includes implementations of Iris dataset scatterplots and scatterplot matrices.
An introduction to the important terms used in machine learning.
This post discusses the basics of data visualisation in python and includes an example of visualising the iris dataset in python.