No machine learning system can be built without data. Therefore, data collection should be our first focus.
Best practices in the data preparation stage
Best practice 1 – completely understanding the project goal
Before starting to collect data, we should make sure that the goal of the project and the business problem, is completely understood, as this will guide us on what data sources to look into, and where sufficient domain knowledge and expertise is also required. For example, in the previous chapter, Chapter 9, Stock Price Prediction with Regression Algorithms, our goal was to predict the future prices of the DJIA index, so we first collected data of its past performance, instead of past performance of an irrelevant...