Chapter 2. Develop machine learning models
Once the data has been loaded and cleaned up, it is time to learn how to create the model that best fits that data. There are many algorithms to build your model in the machine learning ecosystem. Most of them are implemented in different tools, platforms and languages, since their theoretical fundamentals are public and well documented. However, knowing which one will better fit your datasets is not as straightforward as it might seem. Sometimes, algorithms “surprise” you, performing much better on a certain dataset than you expected, while on others underperform. It is important to test and compare algorithms, and identify and understand why such differences occur in order to choose the best combination ...
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