💚 A heart disease classifier using 4 SVM kernels and decision trees, with PCA, ROC, pruning, grid search cv, confusion matrix, and more

The aim is to develop an ML- based predictive classification model (logistic regression & decision trees) to predict which hotel booking is likely to be canceled. This is done by analysing different attributes of customer's booking details. Being able to predict accurately in advance if a booking is likely to be canceled will help formulate prof…

This Repo contains Decision Tree related various tasks

Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve

An implementation of simplified C4.5 algorithm with postpruning.

A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.

A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group

Determine whether someone has heart disease with decision tree

Learning the causes and insights from the Acute Inflammations Dataset using Decision Trees

Create a decision tree, plot it, convert the rules into IF-THEN format, and utilize cost-complexity pruning for minimal tree and interpretable rules.