Predicting house prices is a classic machine learning project that involves regression techniques.

Sentiment analysis involves classifying text data into positive, negative, or neutral sentiments.

Handwritten digit recognition project involves building a model to recognize handwritten digits using the MNIST dataset.

Predicting stock prices is a challenging project that involves time series analysis.

Customer segmentation involves dividing a company's customers into groups based on common characteristics.