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Stock Trend Prediction with LSTM is a powerful tool designed to empower users with insights into the dynamic world of stock market trends. Leveraging cutting-edge technologies such as Long Short-Term Memory (LSTM) networks and real-time data from Yahoo Finance, this project enables users to forecast future price movements of stocks with precision.
A terminal-based Python application for analyzing climate change data. Utilize Pandas and NumPy for data manipulation, merge multiple datasets, use hierarchical indexing, and process data according to user input. Display data using Matplotlib for visualization.