Model prediction accuracy is crucial, but not always the top priority. Sometimes, we may need to sacrifice some accuracy to make the model m

In this article, you will learn the very important and must-know methods present in the Python Pandas library.

This article will explain the concept of regularization in ML and DL. The article will also introduce readers to some of the most famous reg

This article will explain how to identify duplicate records in the data and, the different ways to deal with the problem of having duplicate

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.

Cross-validation is a go-to tool to check if your machine-learning model is reliable enough to work on new data. This article will discuss c

This article will discuss the curse of dimensionality in machine learning problems and dimensionality reduction as a solution for the...

This article will explain the basic concept of overfitting and underfitting from the machine learning and deep learning perspective.

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 try to explain the theory and the use of Scikit-Learn’s pipelines class using a coding example of...