We will be using Long Short-Term Memory (LSTM), an RNN architecture to predict the future trend of the Stock Price of State Bank of India. LSTMs are exceptionally good at classifying, processing and making predictions based on Time Series data. These are really good at tackling the Exploding or Vanishing Gradient Problems that are commonly seen while training traditional RNNs.
The data has been downloaded from Yahoo Finance with the 'yfinance' package that can be downloaded with 'pip'.