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

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

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.

Sistema de avaliação simples para Academias, com machine learning

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

a web application for spam emails detection

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.

AI Projects: Handwritten Digit Recognition & Titanic Survivor Analysis using scikit-learn

Visualizaciones de datos aplicando Altair con stremalit

A beginner project using RAG for retrieving data for the testing team based on multiple type of data.

The course introduce you to moderm Ai concepts with hand on assignment focusing on problem solving skills.

A machine learning project to detect fraudulent credit card transactions.

We're going to classify and predict the "Stage" value, which is either Won or Lost, of a dataset containing auction records, using scikit-learn’s library and algorithms such as decision trees, random forests, naïve Bayes, and KNN.

A simple NLP tool to find conceptually similar Quranic verses. Uses Selenium to scrape English verse texts from clearquran.com, applies TF-IDF and CountVectorizer for similarity analysis, and displays top 5 similar verses via a Tkinter GUI.

This project focuses on photovoltaic energy prediction using intelligent models.

A portfolio of all of the various Kaggle competitions and projects I have participated in, which mostly revolves around machine learning.

MNIST classifier comparing Simple Gaussian and GMM models implemented from scratch in Python.

This project is a complete end-to-end machine learning pipeline for network security analysis built during Krish Naik's Machine Learning Bootcamp. It uses advanced ML techniques to detect and classify network security threats from network data.

This is a section of the project to learn the machine to predict data.