This article will explain the concept of missing values in the data and the ways to deal with data containing missing values.

This article is the part 1 of the Data Preprocessing series. In this part, I explain the feature scaling step of the preprocessing.

In this article, I will be explaining how to create a transformer according to our processing needs using Scikit-Learn classes

In this article, I will explain one of the most important parts of the lifecycle of a data science project, i.e., exploratory data analysis

It's important to know the distinction between fit, and fit_transform methods in Scikit-Learn and when it's appropriate to use them.