⭐ Reviews (4)
★★★★☆
Strong sequel to the beginner book
Picks up right where the first book left off. The NLP and time series chapters were exactly what I was looking for. Would love a dedicated deep learning follow-up.
December 28, 2025
★★★★★
Practical ML, not just theory
Most ML books are either too academic or too shallow. This hits the sweet spot. Built a churn prediction model for my company using techniques from chapter 7.
October 31, 2025
★★★★★
ML concepts finally clicked
Scikit-learn, feature engineering, model evaluation -- all explained with real datasets, not toy examples. The chapter on avoiding data leakage is something every data scientist needs to read.
October 03, 2025