Category: Python

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 🙂 !!!

Using Ganache and Solidity with Python

Happy New Year – 2022 !!!

In this article, we will show how to setup a local Ethereum development environment using Ganache and Solidity for building, deploying, and testing Decentralized Application (dApps) and follow through with a simple demonstration using Python. Here is the link to the article:

Using Ganache and Solidity with Python

Enjoy 🙂 !!!