This template illustrates the data preprocessing process using NumPy. It consists of two main components: the Sender's Side and NumPy. The Sender's Side begins with the Sender Device, which sends continuous features to the NumPy component. NumPy handles the data generation, continuous features, and categorical features. The two components are connected by arrows indicating the flow of data. The importance of data preprocessing cannot be overstated, as it significantly impacts the performance and accuracy of machine learning models. If you need further details based on this template, feel free to share more about your comments.
