My Toughts Feature engineering and selection are vital components of building effective predictive models. In “Feature Engineering and Selection: A Practical Approach for Predictive Models” by Max Kuhn and Kjell Johnson, readers are provided with a wealth of knowledge on creating better models by focusing on predictors, identifying patterns, and optimizing features. In this comprehensive…
Category: data science books
Key lessons on “Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists” by Alice Zheng, Amanda Casari
My Thoughts Feature engineering is the art of selecting, transforming, and creating features that empower machine learning models to deliver remarkable results. In “Feature Engineering for Machine Learning” by Alice Zheng and Amanda Casari, is a guide through the intricacies of feature engineering and how it can shape the performance of machine learning models. The…