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1. Predicting Rainfall
Use historical data and machine learning to forecast rainfall trends, supporting agriculture and disaster planning.
2. Optimizing Stock Portfolios
Analyze stock data to create balanced portfolios that maximize returns and manage risks effectively.
3.User Profiling for Marketing
Segment users based on data to enhance marketing strategies and boost customer engagement.
4.Optimizing Metro Operations
Use data to optimize metro schedules, reduce congestion, and improve operational efficiency.
5.Dynamic Pricing for Profit
Implement real-time pricing strategies to maximize revenue and optimize sales in various industries.
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