A basic MVC implementation of Supervised Machine Learning using Accord.NET.

The study involves predicting the attrition rate of ~72000 customers of a Telco company, and use insights from the model to develop an incentive plan for enticing would-be churners to remain with the firm. The data are available in one data file with 71,047 rows that combines the calibration and validation customers. “calibration” database consi…

Extraction of 100's of IP Address and using Machine Learning algorithm for detecting threats

This repo contains the projects I have built for Udacity's ML Nanodegree program that I'm currently pursuing

A Simple Machine Learning model based on Supervised Learning where it finds all the donors having an income more than 50K.

Another repository for trying out machine learning algorithms for classification

🦕 KNN classifier from scratch

Implementation of Machine Learning Projects

e-commerce fraud detection

Applying machine learning algorithms to determine credit risk.

Entrainement d'un modèle supervisé afin de catégoriser des bannières sur des sites Internet. Basé sur le papier de Recherche de Nicholas Kushmerick. Réalisé dans le cadre du cours STA211 - Entrepose et fouille de données du CNAM

YouTube Subscriber Prediction using Linear Regression

Predicting credit risk with various supervised machine learning models and evaluating the results

Heart Disease Classification: This project focuses on utilizing machine learning algorithms to classify heart disease based on various features. The code performs data preprocessing, feature scaling, and applies different classification algorithms.

An Anime Recommendation System based on User-based Collaborative Filtering technique and KNN(Euclidean Distance) algorithm.

This Repository is consists of Machine Learning Projects based on Prediction

Machine Learning

Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow