Machine learning is everywhere, from your phone’s voice assistant to online shopping recommendations. But the best way to learn ML isnβt just reading about it, it’s building things.
So in this article, weβve gathered the Top 30 Machine Learning Projects with Source Code to help students, beginners, and final-year learners gain hands-on experience. Whether you’re using Python, working on your final year project, or just curious, there’s something here for you!
Letβs dive in π
β Why Work on Machine Learning Projects?
Back when I was starting out, I struggled with theory. Then one day, I built a spam email classifier using Python. It felt like magic, turning code into real-world action. From that day, I realized building projects is the fastest way to learn.
By working on these machine learning projects with source code, youβll:
- Understand ML concepts practically
- Build your portfolio
- Impress interviewers and professors
- Learn to debug and optimize real models
π Top 30 Machine Learning Projects with Source Code
Below are handpicked projects. Youβll also find GitHub source code links to start building right away.
1. Movie Recommendation System
Build a model that suggests movies based on user preferences.
- π Source Code
2. Fake News Detection
Detect whether a news article is real or fake.
- π Source Code
3. Breast Cancer Prediction
Use medical data to predict cancer presence.
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4. House Price Prediction
Predict prices based on house features.
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5. Stock Price Predictor
Use LSTM or linear regression to forecast stock prices.
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6. Customer Segmentation
Cluster customers using K-means.
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7. Digit Recognition System

Recognize handwritten digits using MNIST data.
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8. Credit Card Fraud Detection

Catch fraudulent transactions.
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9. Chatbot using Python

Build a basic conversational chatbot.
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10. Resume Parser using NLP
Extract info like name, skills from a resume.
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π₯ Top 30 Machine Learning Projects with Source Code GitHub
These projects are available on GitHub, so you can fork, edit, or run them easily.
11. Email Spam Detector

Classify emails as spam or not using NLP.
- π Source Code
12. Image Caption Generator
Generate image captions using deep learning.
- π Source Code
13. Face Mask Detection
Recognize if a person is wearing a mask or not.
- π Source Code
14. Gender Detection from Voice
Classify gender using voice frequency.
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15. Brain Tumor Detection
Use CNN to detect tumors in MRI scans.
- π Source Code
π Top 30 Machine Learning Projects with Source Code PDF
If you want to save and learn offline, consider converting this list into a PDF.
16. Loan Approval Prediction
Predict if a loan should be approved based on data.
- π Source Code
17. Personality Prediction
Predict personality types using quiz data.
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18. Voice Gender Recognition
Identify gender from speech patterns.
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19. Autism Spectrum Disorder Prediction
ML model to predict ASD in adults.
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20. Driver Drowsiness Detection
Alerts drivers who are getting drowsy.
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π Top 30 Machine Learning Projects with Source Code for Final Year
Perfect for engineering or CS students looking for final year projects.
21. Music Genre Classification
Predict genre based on audio features.
- π Source Code
22. Heart Disease Prediction
Predict the risk of heart disease from health data.
- π Source Code
23. Traffic Sign Classification
Recognize traffic signs from camera input.
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24. Object Detection using YOLO
Detect multiple objects in real time.
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25. Netflix Recommendation System

Create your own recommendation engine like Netflix.
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π§ Unique Machine Learning Projects
Stand out with these unique and creative projects.
26. Emotion Detection from Text
Analyze user mood from messages.
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27. AI Sudoku Solver
Solve Sudoku puzzles using neural nets.
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28. Food Calorie Estimator
Estimate calorie intake from food images.
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29. Social Media Sentiment Analysis

Analyze tweet sentiment in real-time.
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30. Self-Driving Car Simulation
Build and train a virtual self-driving car.
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π How to Get Started?
If youβre confused about where to start, hereβs a step-by-step guide:
- Pick a project from the list above.
- Clone the GitHub repo (using git clone).
- Go through the README file.
- Run the code locally or on Google Colab.
- Modify and experiment!
Still need help? Here’s a beginnerβs ML roadmap to guide your journey.
π§Ύ Final Words
We hope this guide of Top 30 Machine Learning Projects with Source Code gives you everything you need to build amazing projects and boost your resume.
β
Whether you’re aiming to get your first job
β
Preparing for your final-year project
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Or just having fun with machine learning
These projects are the best way to learn by doing!
βThe best way to predict the future is to build it.β, Alan Kay