This article is about Lasso Regression and Ridge Regression or other call it L1 and L2 regularization, here we will learn and discuss L1 vs L2 Regularization Guide: Lasso and Ridge Regression. The key difference between L1 and L2 regularization is the penalty term or how weights are used, L2 is the sum of the square of the weights, while L1 is just the absolute...

We have mentioned few highly used and vital libraries that you will need while working in Machine learning, Artificial Intelligence and Data Science field with Python. Libraries include Numpy, Pandas, matplotlib, sklearn, TensorFlow and PyTorch.

The Internet can work as The worlds biggest university for us only if we know how to use it efficiently. And, Synonymous to the Internet, YouTube is one of the best places to learn multiple things. In this article, we will be mentioning some of the best YouTube Channels for Machine Learning and Artificial Intelligence. (the list presented is in no particular order as everyone has...

In this section of ‘Startups for U‘, we are going to give a spot to the technological startups working for common people. And, we are going to start this with Frontbench, a startup working with an aim to empower millions of students. In India, engineers are like swarms of fly. You can spot them everywhere, in fact anywhere. According to a recent report, around 1 million...

Unsupervised Learning in Machine Learning, Artificial Intelligence and Data Mining Introduction: In this article, we are going to talk about the unsupervised learning, as by its name its define a lot. But, firstly we will talk about Machine Learning, Artificial Intelligence and Data Mining. Artificial Intelligence: Artificial Intelligence is the process of replication of human intelligence, as it is clear by its name. Here, we try to make the...