Author: S K S

Ridge regression or Tikhonov regularization is the regularization technique that performs L2 regularization. It modifies the loss function by adding the penalty (shrinkage quantity) equivalent to the square of the…

Logistic regression, despite its name, is a classification algorithm rather than regression algorithm. Based on a given set of independent variables, it is used to estimate discrete value (0 or…

In this topic we will discuss Linear Regression in Scikit-Learn. It is one of the best statistical models that studies the relationship between a dependent variable (Y) with a given…

This chapter will help you in learning about the linear modeling in Scikit-Learn. Let us begin by understanding what is linear regression in Sklearn. The following table lists out various…

In this guide, we will discuss Scikit-Learn Conventions. Scikit-learn’s objects share a uniform basic API that consists of the following three complementary interfaces − Estimator interface − It is for building…

In this chapter, we will learn about Scikit-Learn Estimator API (application programming interface). Let us begin by understanding what is an Estimator API. What is Estimator API It is one of the…

In this guide, we will discuss Data Representation in Scikit-Learn. As we know that machine learning is about to create model from data. For this purpose, computer must understand the…

This chapter deals with the modelling process in Scikit-Learn involved in Sklearn. Let us understand about the same in detail and begin with dataset loading. Dataset Loading A collection of…

In this guide, we will discuss Scikit-learn Tutorial. Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for…