In this blog, we will learn how to make a diabetes classifier using both the K- Nearest Neighbors and Decision Tree models.
Introduction to clustering and the K-Means clustering algorithm. We will also implement color-quantization using K-Means.
This post explains Artificial Neural Networks and discusses a famous classification problem.
An introduction to the important terms used in machine learning.
An editorial to a interesting problem present on dunjudge. It involves the fantastic use of graphs along with segment tree.