sickit-learn

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).

Full-stack banking platform for credit-file management. An ML model scores each application's risk and explains it factor by factor. Microservices (Angular, Spring Boot, FastAPI, MongoDB) deployed on Kubernetes through a DevSecOps pipeline (SAST, SCA, DAST, secret scanning).

Smart Excuse AI — an NLP-powered web app that generates believable academic excuses using machine learning, context-aware generation, realism scoring, and explainable AI.

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

🏦 MacroQuant | Deciphering the impact of U.S. Public Debt and Global Liquidity cycles on asset prices using Econometrics and Machine Learning.

🛡️Credit Card Fraud Detection system using Deep Learning and Machine Learning to identify fraudulent transactions with high accuracy.

The foundations of ML, built from scratch — one notebook at a time. NumPy → Pandas → Visualization → Statistics → ML → Deep Learning.

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.

3 Tasks of Oasis Infotype remote intern in data science

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.

a web application for spam emails detection

🏁 VELOX — a production-structured ML system predicting used-car resale value from real market data. Gradient Boosting + quantile regression (P10/P50/P90), SHAP explainability, FastAPI service, Streamlit UI, 22 pytest tests, Docker, CI. Not a demo — an engineered system.

Projeto final da disciplina de Machine Learning (2022.2).

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.

Sentiment analysis on 1.6 million tweets using NLP, Apache Spark, and machine learning.

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