Python, Stock Price Prediction, Eod Stock Market Api, Lstm, Stock Market.
train_end_date].drop(columns=['date']) val_data = data[(data['date'] >= val_start_date) & (data['date'] <= val_end_date)].drop(columns=['date']) return train_data, val_data # Split data train_data, val_data = split_data(processed_data) # Split into features and labels train_features =