Tag Archives: Feature Engineering

ML Zoomcamp 2023 – Machine Learning for Regression – Part 9

Simple feature engineering Suppose we want to develop a new feature based on the existing ones in the feature matrix X. Let’s assume we want to use the year information as an age information. Let’s assume further we have year 2017. We can add this new feature ‘age’ to our prepare_X function. What is oneContinue reading “ML Zoomcamp 2023 – Machine Learning for Regression – Part 9”

ML Zoomcamp 2023 – Introduction to Machine Learning – Part 4

Overview: CRISP-DM Machine Learning Process This part is about the CRISP-DM Machine Learning Process (Cross-industry standard process for data mining). Methodologies like CRISP-DM help us to organize the ML project in a way that is manageable (what needs to happen in which order). Figure 1.4.1 is from Wikipedia. You can find more information on thatContinue reading “ML Zoomcamp 2023 – Introduction to Machine Learning – Part 4”