Sentiment analysis of product review

1. Predictive Analytics for Customer Churn: Build a model to predict customer churn for a subscription-based service using historical customer data.

2. Sentiment Analysis of Product Reviews: Develop a sentiment analysis model to analyze and categorize customer reviews of products or services.

3. Image Classification for Medical Diagnosis: Use computer vision techniques to classify medical images (e.g., X-rays, MRI scans) for diagnosing diseases or conditions.

4. Recommendation System for E-commerce: Create a recommendation system that suggests products to users based on their browsing history, purchase behavior, and preferences.

5. Time Series Forecasting for Stock Prices: Build a model to forecast stock prices using historical stock market data and time series analysis techniques.

6. Fraud Detection in Financial Transactions: Develop an algorithm to detect fraudulent transactions in financial data, such as credit card transactions or insurance claims.

7. Text Generation with Deep Learning: Train a deep learning model to generate text in the style of a particular author, genre, or topic.

These are just a few ideas to get you started. Depending on your interests and expertise, you can tailor the project to suit your goals and objectives.