GitHub - ParampreetSingh24/StockSight: This project uses LSTM neural networks to predict future stock prices of the S&P 500 based on historical closing data and trading volume. Built with Keras and TensorFlow, it compares deep learning performance against a linear regression benchmark, visualizing predictions and refining models for time series accuracy.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
LinearRegressionModel.py		LinearRegressionModel.py
Stock_Price_Predictor.ipynb		Stock_Price_Predictor.ipynb
google.csv		google.csv
lstm.py		lstm.py
preprocess_data.py		preprocess_data.py
visualize.py		visualize.py

About

This project uses LSTM neural networks to predict future stock prices of the S&P 500 based on historical closing data and trading volume. Built with Keras and TensorFlow, it compares deep learning performance against a linear regression benchmark, visualizing predictions and refining models for time series accuracy.