Top 30 Machine Learning Projects with Source Code

Top 30 Machine Learning Projects with Source Code

Machine learning is everywhere, from your phone’s voice assistant to online shopping recommendations. But the best way to learn ML isn’t just reading about it, it’s building things.

So in this article, we’ve 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!

Let’s dive in πŸš€


⭐ 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, you’ll:

  • Understand ML concepts practically
  • Build your portfolio
  • Impress interviewers and professors
  • Learn to debug and optimize real models

πŸ“˜ Top 30 Machine Learning Projects with Source Code

Below are handpicked projects. You’ll 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.

2. Fake News Detection

Detect whether a news article is real or fake.

3. Breast Cancer Prediction

Use medical data to predict cancer presence.

4. House Price Prediction

Predict prices based on house features.

5. Stock Price Predictor

Use LSTM or linear regression to forecast stock prices.

6. Customer Segmentation

Cluster customers using K-means.

7. Digit Recognition System

Digit Recognition System

Recognize handwritten digits using MNIST data.

8. Credit Card Fraud Detection

Credit Card Fraud Detection

Catch fraudulent transactions.

9. Chatbot using Python

 Chatbot using Python

Build a basic conversational chatbot.

10. Resume Parser using NLP

Extract info like name, skills from a resume.


πŸ”₯ 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

Email Spam Detector

Classify emails as spam or not using NLP.

12. Image Caption Generator

Generate image captions using deep learning.

13. Face Mask Detection

Recognize if a person is wearing a mask or not.

14. Gender Detection from Voice

Classify gender using voice frequency.

15. Brain Tumor Detection

Use CNN to detect tumors in MRI scans.


πŸ“„ 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.

17. Personality Prediction

Predict personality types using quiz data.

18. Voice Gender Recognition

Identify gender from speech patterns.

19. Autism Spectrum Disorder Prediction

ML model to predict ASD in adults.

20. Driver Drowsiness Detection

Alerts drivers who are getting drowsy.


πŸŽ“ 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.

22. Heart Disease Prediction

Predict the risk of heart disease from health data.

23. Traffic Sign Classification

Recognize traffic signs from camera input.

24. Object Detection using YOLO

Detect multiple objects in real time.

25. Netflix Recommendation System

Netflix Recommendation System

Create your own recommendation engine like Netflix.


🧠 Unique Machine Learning Projects

Stand out with these unique and creative projects.


26. Emotion Detection from Text

Analyze user mood from messages.

27. AI Sudoku Solver

Solve Sudoku puzzles using neural nets.

28. Food Calorie Estimator

Estimate calorie intake from food images.

29. Social Media Sentiment Analysis

Social Media Sentiment Analysis

Analyze tweet sentiment in real-time.

30. Self-Driving Car Simulation

Build and train a virtual self-driving car.


πŸ”„ How to Get Started?

If you’re confused about where to start, here’s a step-by-step guide:

  1. Pick a project from the list above.
  2. Clone the GitHub repo (using git clone).
  3. Go through the README file.
  4. Run the code locally or on Google Colab.
  5. Modify and experiment!

Still need help? Here’s a beginner’s ML roadmap to guide your journey.


🧾 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.

βœ… Whether you’re aiming to get your first job
βœ… Preparing for your final-year project
βœ… Or just having fun with machine learning

These projects are the best way to learn by doing!

β€œThe best way to predict the future is to build it.”, Alan Kay