10 Machine Learning Projects for Beginners — Build Your Portfolio
Why ML Projects Matter
Machine Learning is the most in-demand skill in 2026. But theory alone won't get you a job. Projects prove you can apply ML to real problems.
10 Beginner ML Projects
1. House Price Prediction
Predict house prices using linear regression. Dataset: Kaggle House Prices.
Skills: Linear Regression, Pandas, Matplotlib
2. Customer Churn Prediction
Predict which customers will leave. Dataset: Telco Customer Churn.
Skills: Logistic Regression, Random Forest
3. Spam Email Classifier
Classify emails as spam or not spam. Dataset: SMS Spam Collection.
Skills: NLP, Naive Bayes, TF-IDF
4. Image Classification
Classify images of cats vs dogs. Dataset: Kaggle Cats vs Dogs.
Skills: CNN, TensorFlow, Keras
5. Sentiment Analysis
Analyze movie reviews as positive/negative. Dataset: IMDB Reviews.
Skills: NLP, LSTM, Word Embeddings
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