Deep Learning, Stock Prediction, Python, Financial Analysis, Programming.
2. Data Preprocessing Before we can use this data for our deep learning model, we need to preprocess it. This involves handling missing values, normalizing the data and creating a consistent format for input into our neural network. # Preprocess the data for all stocks for symbol in stocks_data: #