PinnedSole from Train in Data·Jul 18, 2025Should You Use Imbalanced-Learn in 2025?Imbalanced-learn is a Python open-source library that supports methods that have longed been proposed as effective to tackle alleged poor…
PinnedSole from Train in Data·Jul 13, 2020Feature Engineering for Machine Learning: What is it?State-of-the-art feature engineering methods and Python libraries used by data scientists.
PinnedSole from Train in Data·Oct 13, 2021The 4 movies every data scientist should watch.And how to use our skills responsibly.A response icon1A response icon1
PinnedSole from Train in Data·Jan 27, 2020How To Build And Deploy A Reproducible Machine Learning PipelineDiscover the key challenges encountered when putting models in production and how to overcome them.A response icon2A response icon2
Sole from Train in Data·Nov 9, 2022Data science and machine learning booksDid you come here expecting to find the “Hundred-page machine learning book” or “Elements of statistical learning”?
Sole from Train in Data·Aug 16, 2022Feature 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.
Sole from Train in Data·Aug 16, 2022Recursive 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…
Sole from Train in Data·Aug 12, 2022Using Mutual information to select features with PythonHow to correctly implement feature selection using mutual information in Python.
Sole from Train in Data·Jul 5, 2022Variable Discretization in Machine LearningLearn why and how we discretize features in machine learning.
Sole from Train in Data·Jun 2, 2022Variance 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?A response icon1A response icon1
