Author: bhaskar_s

Machine Learning – Regularization using Scikit-Learn – Part 6

In Part-6 of this article series, we will get our hands dirty with the Regularization techniques using Scikit-Learn. We will cover the three popular regularization techniques – LASSO, Ridge, and Elastic Net.

Here is the link to the article:

Machine Learning – Regularization using Scikit-Learn – Part 6

Enjoy 🙂 !!!

Machine Learning – Understanding Regularization – Part 5

In Part-5 of this article series, we will introduce the concepts around Regularization. We will explain the details behind the three popular regularization techniques – LASSO, Ridge, and Elastic Net.

Here is the link to the article:

Machine Learning – Understanding Regularization – Part 5

Enjoy 🙂 !!!

Machine Learning – Understanding Bias and Variance – Part 4

In Part-4 of this article series, we will introduce the key concepts around Bias and Variance and get a mathematical intuition around it. In addition, we get our hands dirty with a demo using the popular Python machine learning library Scikit-Learn.

Here is the link to the article:

Machine Learning – Understanding Bias and Variance – Part 4

Enjoy 🙂 !!!

Machine Learning – Polynomial Regression using Scikit-Learn – Part 3

In Part-3 of this article series, we use the popular Auto MPG data set to get our hands dirty with Polynomial Regression using the popular Python machine learning library Scikit-Learn.

Here is the link to the article:

Machine Learning – Polynomial Regression using Scikit-Learn – Part 3

Enjoy 🙂 !!!

Machine Learning – Linear Regression using Scikit-Learn – Part 2

In Part-2 of this article series, we use the popular Auto MPG data set to get our hands dirty with Linear Regression using the popular Python machine learning library Scikit-Learn. This article covers hands-on demo with the Simple Linear Regression and the Multiple Linear Regression.

Here is the link to the article:

Machine Learning – Linear Regression using Scikit-Learn – Part 2

Enjoy 🙂 !!!