An advanced movie recommendation system built with Python, scikit-learn, and SQLite. It provides personalized movie suggestions based on user preferences through data analysis, and also allows users to search by a specific movie title to find similar recommendations.

persian Ham Spam detector with python, hazm, nltk and nlp.

Welcome to the official GitHub repository for the "Machine Learning" course 2024! In this course, we explore the fascinating world of machine learning, diving deep into the algorithms, techniques, and tools that enable computers to learn from data and make intelligent decisions.

This project involves cohort analysis and customer segmentation to help an e-commerce giant improve its product offerings, customer relations and maximize profit.

The goal of this assignment is to perform an in-depth analysis of a dataset containing information about cars and fuel consumption. We will use Python for the solution, leveraging libraries such as Pandas for data manipulation and analysis, and NumPy for numerical operations.

Projeto final da disciplina de Machine Learning (2022.2).

this repository contains two projects : the first it s applying ML algorithm (Logistic regression) for classification on Titanic dataset From scratch and with use Sickit-Learn and the second for analyze this data : Understanding data - data preprocessing

Estimating the amount of the loan that will be approved.

End-to-End Machine Learning/Data Science Project

Implémentation d'une pipeline permettant de faire la prédiction de la maladie de parkinson via des outils d'IoT, Cloud, et Big Data

Sistema de avaliação simples para Academias, com machine learning

Machine Learning model trained to predict prices of real estate properties in Belgium

prices predictor system Useing ZenML, a MLOPs framework

L'objectif de cette étude est de définir à partir des enquêtes d'insertion professionnelles réalisé par le ministère de l'enseignement supérieur si le salaire moyen annuel brut permet lmoyen permet de faire partie des 30% des français les plus riches

The code below is for a machine learning project that builds a regression model using different algorithms and evaluates their performance.

This project aims to classify wine into two different categories: red wine or white wine using various machine learning algorithms and performing their evaluation.

a web application for spam emails detection

This project is an Email Spam Detection model developed in Python, utilizing machine learning techniques to classify emails as spam or not spam. The model leverages the Random Forest Classifier for optimal performance in this task.