- Reading the file using pandas.
- Preprocessing using pandas.
- Converting dataframe into numpy array.
- Splitting the darray into training and testing.
- Creating the keras LSTM model for the data.
- Fitting the model for training using the appropriate loss function and optimizer.
- Predicting the model with the testing data.
- Plotting the comparison between model predicted output and actual output.