Machine learning project ideas for beginners
Beginner-friendly machine learning projects that teach core skills and look good in a portfolio.
EvoAstra team14 Nov 2026 · 3 min read- Choose projects with clear questions and available data
- Focus on data preparation and evaluation, not just models
- Explain your results in plain language
Machine learning is best learned by building. These project ideas cover the main types of problems and use data that is available publicly.
Regression: predicting a number
Predict house prices, delivery times or sales. You will learn feature engineering, linear models, tree-based models and error metrics.
Classification: predicting a category
Predict whether a customer will leave, a loan will default or a transaction is fraudulent. Learn about imbalanced data, precision and recall.
Text: understanding language
Classify product reviews as positive or negative, or sort support tickets by topic. Learn text cleaning, embeddings and evaluation.
- 1Define the question
- 2Explore data
- 3Prepare features
- 4Train and evaluate
- 5Explain results
Time series: forecasting
Forecast monthly sales or website traffic, accounting for trends and seasons.
Make it count
Explain what you tried, what worked, what did not and how a business could use the result. Interviewers care about your thinking as much as accuracy scores.
- Clear question
- Baseline model
- Proper train-test split
- Right metrics
- Plain-language summary
Tell us what you’re working on. Free estimate within 24 hours, NDA on request.