Keywords: Regression, Deep learning, Normalization, LSTM architecture Github

1. Implemented feature scaling with MinMaxScalar and restructured data with 60 past stock price timesteps to predict stock price at t+1

2. Built, trained and optimized multi-layer LSTM to capture trends in google stock prices data

3. Predicted stock prices for 20 financial days using trained LSTM and visualized real vs predicted result for evaluation