The recommended articles the author has read this week.
Principal Component Analysis (PCA) from scratch in Python
About principal component analysis(PCA). Easy description and code for a beginner.
Feature selection in Python using the Filter method
This article helps us to select input features by filtering methods. By the step-by-step style, we investigate the correlation between variables and select the features.
3 Essential Ways to Calculate Feature Importance in Python
In this article, the ways to select features are introduced in different methods, based on logistic regression, a tree-based method, and principal component analysis(PCA).
Weighted Logistic Regression for Imbalanced Dataset
Most of the data collected in the real world always have a problem such as an imbalance of each category. That’s why dealing with imbalanced data is important. This article introduces the basics of how to treat imbalanced data.