Basic stock prediction model built using Machine Learning (Apple stock was used in this project - AAPL)
STEP1 - Collect and store stock data (done using TIINGO)
STEP2 - Preprocess data by dividing into Train & Test parts
STEP3 - Build a stacked LSTM model
STEP4 - Try the train and test data on the LSTM model
STEP5 - Predict the next 30 days output using the model