Stock Market Prediction using LSTM Table of Contents Introduction Steps Step 1: Load the dataset in the notebook Step 2: Select the appropriate feature for creating the model from the training data Step 3: Normalize the features and convert it into time stamps of 60 Step 4: Reshape the data (3 D array) for applying to the LSTM model Step 5: Create a sequential LSTM model using Keras Step 6: Compile the model and train it using the training data Step 7: Predict using the test data Introduction This README provides a structured guide for implementing Stock Market Prediction using LSTM (Long Short-Term Memory) neural networks.
