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.

Infrastructure as Code (IaC) solution with container orchestration, deployment versioning, security management, and ML-based intrusion detection system (IDS).

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

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

Stock price prediction application with interactive web interface. Features multiple ML models (Linear Regression, Random Forest), 19+ technical indicators, alerts system, and real-time market data visualization.

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).

prices predictor system Useing ZenML, a MLOPs framework

End-to-End Machine Learning/Data Science Project

Sistema de avaliação simples para Academias, com machine learning

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

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

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

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

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

This repository forecasts party-wise seat counts for the UP State Legislature 2027 elections. Predictions are based on past assembly results and municipal seat trends. Linear regression is used to estimate future performance

Computer Vision & Deep Learning models for tracking user behavior in shops, predicting real-time probability of shoplifting and enables instant alerts to a mobile app. The full report includes information about the thief extracted by the facial encoding and with the help of Face Recognition pre-built model.