The Guide to Evaluating Machine Learning models
Learn the keys to evaluating Machine Learning models and improving their performance with this great article!
Tag: Machine Learning
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 ...
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! 🍅
Feature Engineering for Machine Learning
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: Probability for Machine Learning
Bayes Theorem Explained: A simple introduction to one of the most important concepts of probability theory. Check it out!
A Quick List of Machine Learning Algorithms
Looking for a tidy but accesible list of the main Machine Learning algorithms and models? Then read on!
What is Transfer Learning?
What is Transfer Learning? Where can I use it? Why should I use it? What are some examples? Read On to find out!
Feature Scaling in Unsupervised Machine Learning
Learn why Feature Scaling is a fundamental part of building an unsupervised learning model with a clear example!