The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the mode

A practical guide for data scientists who want to improve the performance of any machine learning solution with feature engineering.

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn t

Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if th

Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key FeaturesDiscover