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

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

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

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

Implemented Decision tree learning algorithm using ID3 with Information Gain Heuristic in Python and used Pandas for pre-processing data.

Tech Challenge of the Postgraduate in Data Analytics, from FIAP, analyzing Brent Oil price data, in comparison with historical, economic and societal data, integrating correlation and causality analyzes of items with prices, as well as developing a model forecast and an importance analysis through information gain from a forest model (XGBoost)

Delved into advanced techniques to enhance ML performance during the uOttawa 2023 ML course. This repository offers Python implementations of Naïve Bayes (NB) and K-Nearest Neighbor (KNN) classifiers on the MCS dataset.

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.

Applying Text Mining technique in DevOps Challenges and Recommendations to teach

Implement the decision tree learning algorithm using Information gain heuristic & Variance impurity heuristic