Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! Three proof copies of my books looking for a new home While I was working on making the physical copies of my books available through different providers, I ended up with three proof copies. They are not perfect: one has the "not for sale" band, and one of the feature selection copies has a few typos here and there....
7 days ago • 3 min read
Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! My new focused machine learning courses are now on Udemy I know many of you already use—and love—Udemy, so I’m back with a new series of short, focused courses designed to help you learn one valuable machine learning skill at a time. The Complete SHAP and Shapley Values Masterclass Master Hyperparameter Tuning with Grid...
14 days ago • 3 min read
Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! Machine Learning Interpretability course has been updated! I’ve recently finished updating my Machine Learning Interpretability course. 🎉 I’ve refreshed the course notebooks, replacing outdated libraries with practical alternatives and adding fixes to keep examples running as Python evolves. You’ll explore the same...
21 days ago • 3 min read
Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! TunedThresholdClassifierCV: the good, the bad, the ugly For years, scikit-learn classifiers made one decision for us: predict() converted probabilities into class labels using a de facto cut-off of 0.5. That number seems obvious from stats classes. But in practice, it’s rarely the right one. A threshold is not a property...
28 days ago • 3 min read
Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! My Hyperparameter Optimization Course Just Got a Major Update! I’ve released a completely updated version of my course, now called Master Hyperparameter Optimization for Tabular Learning. It focuses on optimizing today’s leading tabular models using the tools and techniques the machine-learning community relies on,...
about 1 month ago • 3 min read
Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! Have you added it to your reading list yet? Imbalanced Data, Myths, Mistakes and Modern Solutions Imbalanced data isn't a problem. How you handle it is. My book, Imbalanced Data: Myths, Mistakes and Modern Solutions, cuts through the common misconceptions and brings together practical, evidence-based approaches you can...
about 1 month ago • 5 min read
Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! My New Book is Out! Imbalanced Data, Myths, Mistakes and Modern Solutions Most advice about imbalanced data is incomplete, or simply wrong. This book challenges common assumptions and provides practical, evidence-based guidance for tackling class imbalance and building better machine learning models. Get the book Class...
about 2 months ago • 4 min read
Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! My New Book is Out! Imbalanced Data, Myths, Mistakes and Modern Solutions Most advice about imbalanced data is incomplete, or simply wrong. This book challenges common assumptions and provides practical, evidence-based guidance for tackling class imbalance and building better machine learning models. Find out more...
about 2 months ago • 3 min read
Welcome! Every Monday, I’ll drop a no-fluff, straight-to-the-point tip on a data science skill, tool, ormethod to help you stay sharp in the field. I hope you find it useful! My latest eBook Imbalanced Data, Myths, Mistakes and Modern Solutions is here! Most advice about imbalanced data is incomplete, or simply wrong. This book challenges common assumptions and provides practical, evidence-based guidance for tackling class imbalance and building better machine learning models. Get your copy...
2 months ago • 3 min read