pred

ML-powered web app that predicts telecom customer churn using Random Forest — built with Flask, Scikit-Learn & Pandas

This repository contains a data science project focused on predicting hotel booking cancellations. Additionally, it includes a web application built with Streamlit for user interaction and visualization of the prediction results.

This Python script is designed to predict the selling price of cars using a Decision Tree Regressor model.

Machine learning models to automate loan eligibility prediction using customer application data.

This project aims to predict credit card approval using machine learning techniques. The goal is to build and evaluate various classification models to identify the best-performing model for accurate prediction.

Real_estate_Price_Prediction

Loan Prediction using four ML Algorithms - Decision Tree, Logistic Regression, Random Forest, Neural Network

credit card default prediction in python for different algorithms