Naive Bayes Explained
Naive Bayes Explained: A simplification of the Bayes Theorem for Machine Learning applications. Learn all about it with this article!
Naive Bayes Explained: A simplification of the Bayes Theorem for Machine Learning applications. Learn all about it with this article!
The code to plot the Lift Curve in Python This little code snippet implements the function which allows you to plot the Lift Curve in Machine learning using Mat...
Learn the keys to evaluating Machine Learning models and improving their performance with this great article!
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 ...
Learn about the Lift Curve in Machine Learning, a great metric to asses the performance of our classification algorithms 👈
Learn all about ROC in Machine Learning, one of the best ways to discover the performance of classification algorithms!
Learn what AutoML, the democratisation of Machine Learning is all about and see great examples! 🍅
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists Feature Engineering for Machine Learning: The following is a review of t...
Bayes Theorem Explained: A simple introduction to one of the most important concepts of probability theory. Check it out!
Looking for a tidy but accesible list of the main Machine Learning algorithms and models? Then read on!