Introduction
Stock price prediction is a challenging task due to the dynamic and complex nature of financial markets. This project leverages Long Short-Term Memory (LSTM) neural networks, a type of Recurrent Neural Network (RNN) designed to handle sequential data efficiently.
Objectives
Analyze historical stock price data
Build an LSTM-based predictive model
Forecast future stock prices
Visualize the predicted trends