Github Link: https://github.com/anil-iqbal/stock-prediction
The model is training using historical stock price data along with volume transactions. Ridge regression model and deep neural network model are used to predict future stock prices.
Test data is divided into 75% for training and 25% for testing and Linear regression is used.
Trained an Long short-Term memory networks (LSTM) (neural nets) time series model to accurately predict stock prices, investors can maximize returns and know when to buy/sell stocks.
