50 Machine Learning Projects with Python

A list of Machine Learning projects you can work on as a beginner in Machine Learning!

A Machine Learning Engineer uses data and algorithms to build intelligent systems. If you are new to machine learning, you need to work on beginner-level machine learning projects to understand how to use machine learning algorithms on datasets to solve problems. If you are looking for some Machine Learning projects with Python to practice Machine Learning concepts, this article is for you. In this article, I will take you through some amazing Machine Learning projects with Python you can work on as a beginner in Machine Learning.

50 Machine Learning Projects with Python

Classification:

1. Anomaly Detection in Transactions
2. End to End Chatbot
3. Loan Approval Prediction
4. Text Emotions Classification
5. Credit Score Classification
6. Ads Click-Through Rate Prediction
7. Consumer Complaint Classification
8. Password Strength Checker
9. Spam Comments Detection
10. Online Food Order Prediction
11. MNIST Digits Classification
12. Online Payments Fraud Detection
13. Classification with Neural Networks
14. Language Detection
15. News Classification
16. Iris Flower Classification
17. Sarcasm Detection
18. Social Media Ads Classification

Regression:

1. Dynamic Pricing Strategy
2. Retail Price Optimization
3. Food Delivery Time Prediction
4. Diamond Price Prediction
5. Salary Prediction
6. House Rent Prediction
7. Instagram Reach Prediction
8. Student Marks Prediction
9. Waiter Tips Prediction
10. Cryptocurrency Price Prediction
11. Stock Price Prediction
12. Health Insurance Premium Prediction

Deep Learning:

1. Next Word Prediction Model
2. Classification with Neural Networks

Time Series:

1. Ads CTR Forecasting
2. Demand Forecasting & Inventory Optimization
3. Netflix Subscriptions Forecasting
4. Currency Exchange Rate Forecasting
5. Instagram Reach Forecasting
6. Time Series Forecasting with ARIMA
7. Weather Forecasting
8. Website Traffic Forecasting
9. Business Forecasting

Recommendation Systems:

1. Music Recommendation System
2. Hybrid Recommendation System
3. News Recommendation System
4. Book Recommendation System

Clustering:

1. Credit Scoring & Segmentation
2. App User Segmentation
3. Credit Card Clustering
4. Topic Modelling
5. Clustering Music Genres

Summary

I hope this list of Machine Learning projects will help you improve your practical implementation of all the concepts of Machine Learning. This list will keep updating with more projects. Please feel free to ask valuable questions in the comments section below.