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One-hot encoding categorical variables
Find out how to encode categorical variables using one-hot.

Data science and machine learning books
Discover five books that expose the controversial policies and surveillance abuses of companies that use...

Feature selection in machine learning with Python
Discover multiple algorithms for feature selection and implement them in Python.

Recursive feature elimination with Python
Recursive feature elimination is the process of selecting features sequentially, in which features are removed...

Feature selection with Lasso in Python
The Lasso regularization can be used to select features in machine learning since it has...

Mutual information with Python
Mutual information measures the information we know from one variable by observing the values of...

Variance stabilizing transformations in machine learning
Why do we transform variables with the logarithm or a power function before training a...

Population Stability Index and feature selection in Python
The Population Stability Index quantifies changes in a variable’s distribution over time, and it is...