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.

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.

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

AI-powered behavioural fraud detection system for UPI transactions using FastAPI and Streamlit.

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.

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

Projeto final da disciplina de Machine Learning (2022.2).

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

AI-Powered Apple Leaf Specialist: identifies common apple leaf issues from photos and provides clear care steps.

End-to-End Machine Learning/Data Science Project

prices predictor system Useing ZenML, a MLOPs framework

Machine learning models for breast cancer survival prediction using NCR data

Sistema de avaliação simples para Academias, com machine learning

A lightweight and efficient text classification system designed to detect signs of depression using classical NLP. It features a TF-IDF vectorization pipeline combined with a Logistic Regression model, providing a fast and interpretable alternative to deep learning for mental health text analysis.

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

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.