The Guide to Evaluating Machine Learning models
Learn the keys to evaluating Machine Learning models and improving their performance with this great article!
Tag: Data Science
ROC Curve Python
The definitive ROC Curve in Python code Learn the ROC Curve Python code: The ROC Curve and the AUC are one of the standard ways to calculate the performance of ...
Take a Data Science Pipeline to Production
The book to learn how to turn your Machine Learning models in a productive Data Science Pipeline The following is a review of the book by Ben Weber (Twitter her...
The Lift Curve in Machine Learning
Learn about the Lift Curve in Machine Learning, a great metric to asses the performance of our classification algorithms 👈
ROC Machine Learning Explained
Learn all about ROC in Machine Learning, one of the best ways to discover the performance of classification algorithms!
What is AutoML in Machine Learning?
Learn what AutoML, the democratisation of Machine Learning is all about and see great examples! 🍅
Pattern Recognition and Machine Learning: The Textbook
What is Pattern Recognition? How is it related to Machine Learning? Answer these questions and a lot more with the famous book Pattern Recognition and Machine L...
An Introduction to Feature Selection in Machine Learning
Learn what feature selection is, why it is important, and how you can use it.
Explainable Artificial Intelligence
Learn about Explainable Artificial Intelligence, how to create explainable Machine Learning models, and Interpretable AI!
The amazing Confusion Matrix in Python with Pokemon
Learn what the Confusion Matrix is and how to implement it in Python...with Pokemon!