1. Sentiment Analysis: Analyze text data to determine sentiment polarity.
2. Image Classification: Develop models to classify images into predefined categories.
3. Stock Price Prediction: Predict financial market trends using historical data.
4. Recommendation System: Build a system suggesting items based on user preferences.
5. Spam Email Classifier: Create a model to classify emails as spam or not.
6. Face Recognition: Implement systems for identifying and verifying faces.
7. Handwritten Digit Recognition: Train models to recognize handwritten digits.
9. Health Prediction: Predict health outcomes based on patient data.
10. Fraud Detection: Develop models to identify fraudulent activities in transactions.