An implementation of multi-layer perceptron for classifying thyroid disease dataset

Thyroid Syndrome Detection using Machine Learning Algorithms 🔬

Data Mining project to implement Quinlan's C4.5 decision tree algorithm from scratch for medical data mining using the Thyroid allbp dataset

A sklearn-driven script to learn the best parameters for MLP to classify a thyroid dataset

Implementation of decision tree from scratch using numpy and pandas only. Supports both type of cost function, information gain as well as gini index

Accuracy- 98.7% on predicting the presence or absence of Thyroid