Elevate your Machine Learning results with expert Feature Engineering. This practical guide empowers data scientists and ML engineers in India to refine data, capture problem nuances, and significantly boost model accuracy. Dive into fundamental techniques and a unique cross-domain approach covering graphs, texts, time series, and images. Master binning, encoding, dimensionality reduction, and feature selection. Essential for anyone serious about Data Science, it includes fully worked case studies with Python Jupyter notebooks for hands-on application and improved performance.