PinnedFeature Engineering for Machine Learning: What is it?State-of-the-art feature engineering methods and Python libraries used by data scientists.Jul 13, 2020Jul 13, 2020
PinnedThe 4 movies every data scientist should watch.And how to use our skills responsibly.Oct 13, 20211Oct 13, 20211
PinnedHow To Build And Deploy A Reproducible Machine Learning PipelineDiscover the key challenges encountered when putting models in production and how to overcome them.Jan 27, 20202Jan 27, 20202
Data science and machine learning booksDid you come here expecting to find the “Hundred-page machine learning book” or “Elements of statistical learning”?Nov 9, 2022Nov 9, 2022
Feature selection with Lasso in PythonThe Lasso regularization has the ability to shrink coefficients to 0 and as such allows for feature selection out-of-the-box.Aug 16, 2022Aug 16, 2022
Recursive feature elimination with PythonRecursive feature elimination (RFE) is the process of selecting features sequentially, in which features are removed one at a time, or a…Aug 16, 2022Aug 16, 2022
Using Mutual information to select features with PythonHow to correctly implement feature selection using mutual information in Python.Aug 12, 2022Aug 12, 2022
Variable Discretization in Machine LearningLearn why and how we discretize features in machine learning.Jul 5, 2022Jul 5, 2022
Variance stabilizing transformations in machine learningWhy do we transform variables to train machine learning models? is this a must? which transformation shall we use? how to do it in Python?Jun 2, 20221Jun 2, 20221
Alternative Feature Selection Methods in Machine LearningYou’ve probably done your online searches on “Feature Selection”, and you’ve probably found tons of articles describing the three umbrella…Apr 25, 2022Apr 25, 2022