Sample Stock Data.csv

This project aims to predict future stock prices by leveraging advanced time series forecasting and regression analysis techniques. By utilizing historical stock data, feature engineering, and Long Short-Term Memory (LSTM) neural networks, the model can identify trends and patterns to provide accurate price predictions. This information can be valuable for investors and financial analysts seeking to make informed investment decisions. The project involves data preprocessing, model training, evaluation, and visualization of the predicted stock prices.