Machine Learning Projects

Explore machine learning projects for students using Python, Scikit-learn, TensorFlow, and other popular machine learning libraries. Discover practical projects covering classification, regression, prediction, recommendation systems, anomaly detection, and real-world AI applications. Find innovative machine learning project ideas for B.Tech students, computer science students, and final-year engineering projects, with opportunities to develop practical skills through hands-on implementations.

Crypto trading analysis tools using Python with cryptocurrency charts and Bitcoin analysis

Crypto Trading Analysis Tools Using Python | Final Year Project

Machine Learning Projects /

Introduction Crypto trading analysis tools using Python help users explore cryptocurrency market data, visualize price movements, and understand trading trends through data analysis. This project is a practical choice for computer science students looking for a final-year project in Python, financial data analytics, and machine learning. The Crypto Trading Analysis Tools project demonstrates how Python

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Crop yield prediction using machine learning for Indian agriculture with Python

🌾 Crop Yield Prediction Based on Indian Agriculture Using Machine Learning

Machine Learning Projects /

🌱 Introduction Crop yield prediction using machine learning is a Python-based project that analyzes agricultural data to estimate crop production and support data-driven farming research. This project combines machine learning, data preprocessing, and predictive analytics to explore how historical agricultural information can be used to estimate crop yields. 🇮🇳 Agriculture is an important part of

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Crime Data Analysis Using Machine Learning with Python

Crime Data Analysis Using Machine Learning | Python Project for Final Year

Machine Learning Projects /

Introduction Crime data analysis using machine learning is a Python-based data analytics project that explores crime-related datasets to identify patterns, visualize trends, and study how machine learning techniques can support crime data analysis. This project combines data preprocessing, exploratory data analysis, visualization, and predictive modeling concepts. If you are a B.Tech, B.E., BCA, MCA, Computer

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Credit card fraud detection using machine learning with Python

Credit Card Fraud Detection Project Using Machine Learning

Machine Learning Projects /

Introduction The credit card fraud detection project using machine learning demonstrates how Python and machine learning techniques can help identify potentially fraudulent financial transactions. This project explores transaction data, preprocessing, feature selection, model training, and prediction to understand how automated fraud detection systems work. Designed as an educational project for computer science, artificial intelligence, and

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Credit card fraud detection using machine learning with Python

Credit Card Fraud Detection Using Machine Learning | Python Project

Machine Learning Projects /

Introduction Credit Card Fraud Detection Using Machine Learning is a Python-based machine learning project designed to analyze financial transaction data and identify potentially fraudulent transactions. This project demonstrates how data preprocessing, feature selection, and classification algorithms can help distinguish suspicious transactions from legitimate ones. As digital payments and online shopping continue to grow, detecting unusual

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COVID detection on chest X-ray images using machine learning with Python

COVID Detection on X-Ray Images Using Machine Learning

Machine Learning Projects /

Introduction COVID detection on X-ray images using machine learning is an educational project that explores how artificial intelligence can analyze chest X-ray images and classify patterns associated with COVID-19. Developed using Python and image-processing techniques, this project demonstrates the application of machine learning and deep learning in medical image analysis. The COVID detection on X-ray

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COPD disease detection using machine learning from chest X-ray images

COPD Disease Detection from Chest X-Rays | Chest X-ray of Lung Disease using Machine Learning

Machine Learning Projects /

Introduction 🫁 COPD disease detection using machine learning is an artificial intelligence project that explores how computer-based models can analyze chest X-ray images to support the study of Chronic Obstructive Pulmonary Disease (COPD). This project combines Python programming, machine learning, image processing, and medical image analysis to demonstrate how AI can be applied to healthcare-related

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Cloth recognition using machine learning with Python for clothing classification

Cloth Recognition Using Machine Learning | Python Project

Machine Learning Projects /

Introduction Cloth recognition using machine learning is a computer vision project that explores how clothing items can be identified and classified from images using Python and trained machine learning models. The system can be designed to recognize clothing categories such as shirts, T-shirts, jeans, dresses, jackets, and hoodies, depending on the dataset and model used.

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Cashierless retail store using machine learning for automated product detection and billing

Cashier less Retail Store using Machine Learning | Final Year Major Project for CSE

Machine Learning Projects /

Introduction The cashier-less retail store using machine learning project demonstrates how Python, artificial intelligence, and computer vision can support automated shopping and billing workflows. Designed as an academic project for final-year CSE, IT, and computer engineering students, this solution explores product recognition, shopping cart management, and retail automation. Traditional stores often rely on manual checkout

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Car Recommendation System using Machine Learning and Python

Car Recommendation System using Machine Learning | Vehicle Recommendation System

Machine Learning Projects /

Introduction 🚗 Car Recommendation System using Machine Learning is an AI-based project that recommends suitable cars to users based on their preferences, requirements and vehicle characteristics. The system can analyze information such as car brand, price, fuel type, mileage, transmission, engine capacity, seating capacity and other vehicle features to recommend cars that match a user’s

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