Train CatBoost & XGBoost on 59K data to predict the probability that an online transaction is fraudulent

To build a classification methodology to determine whether a person defaults the credit card payment for the next month.

Determine the pattern of Tuberculosis - HIV spread

A Flask web app which predicts whether it will rain tomorrow or not.

This is the Mushroom Classification project based on Supervised machine learning problem statement. The problem statement is classify the class of Mushroom into edible and piousness.

What is Parkinson’s Disease? Parkinson’s disease is a progressive disorder of the central nervous system affecting movement and inducing tremors and stiffness. It has 5 stages to it and affects more than 1 million individuals every year in India. This is chronic and has no cure yet. It is a neurodegenerative disorder affecting dopamine-producing…

Udemy Machine Learning project

Repositorio que contiene una solución para el problema de detección de fraude de tarjetas de crédito

Assessment solution for Arya-ai Binary classification assessment

Meu 9 projeto de machine learning em que o objetivo era tentar predizer o resultado de um teste de covid a partir de diversas features envolvendo, sintomas, comorbidades, fatores de risco, dentre outros

This is a project where Classification Models were built to predict whether a grid is stable or unstable going by the Provided Dataset

🚀 Revolutionize customer targeting with a predictive ML model that optimizes insurance subscription. 🎯📊

This project addresess a medical problem of detecting cancer and understanding what causes cancer in body using machine learning.

This repository contains the resources and codebase for a research project aimed at predicting breast cancer cases using data from the KNUST hospital.

Detecting fraudulent credit card transactions using Machine Learning algorithms.

Credit score prediction using classification models (Multi-class prediction)

The goal is to build a machine learning model that can predict the likelihood of an individual developing cervical cancer based on various factors.

This dataset include data for the estimation of obesity levels in individuals from the countries of Mexico, Peru and Colombia, based on their eating habits and physical condition. The data contains 17 attributes and 2111 records.

A GitHub repository of machine learning models for fraud detection including pattern recognition, anomaly detection, and fraud prediction. It includes python scripts, Docker containerization and deployment instructions on AWS SageMaker and covers both supervised and unsupervised techniques for a comprehensive analysis.