Built and implemented the Decision Tree successfully with split on the basis of information gain from scratch

Polycystic Ovary Syndrome (PCOS) is a widespread pathology that affects many aspects of women's health, with long-term consequences beyond the reproductive age. The wide variety of clinical referrals, as well as the lack of internationally accepted diagnostic procedures, have had a significant impact on making it difficult to determine the exact…

Information gain can be used to get information about the value of attributes regarding a conceived result.

Content: Root node, Decision node & Leaf nodes, Attribute Selection Measure (ASM), Feature Importance (Information Gain), Gini index

Implementation of decision tree from the scratch using entropy as criteria for information gain calculations.

Feature selection techniques on author text data

Implementation of decision tree using information gain

Focused on math and applied the methods into programming.

Information gain of a car dataset was calculated in this notebook

Implementation of Decision Tree using two heuristics for Assignment 01 of the course CS6375: Machine Learning.

In this repo, I implement a decision tree classifier from scratch using python and pandas. I use this decision tree to detect gender based on names. I use the first letter, first two letters, first three letters, last letter, last two letters, last three letters, etc. as features.

This project focuses on implementing and analyzing the learning process in decision trees using Connect 4.

A simple implementation of the ID3 algorithm in Rust.

Implemented a Decision Tree from Scratch using binary univariate split, entropy, and information gain. Used Gini index and Pruning for performance improvement.

To predict which drug might be appropriate for a future patient with particular type of illness using Decision Trees.

Greedy algorithm for classification tree