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Java is a name familiar to almost everyone in the tech world. It’s simple, powerful, and widely used. After completing my B.Tech, I was unsure about how to get a job or what roles I would play in the corporate world. I had many questions and doubts. ...

What is the Dunning-Kruger effect? The Dunning–Kruger effect is a cognitive bias in which people with limited competence in a particular domain overestimate their abilities. It was first described by Justin Kruger and David Dunning in 1999. It can af...

Introduction Neural networks are the backbone of modern machine learning. In this blog, we'll explore the fundamentals of neural networks, their architecture, and how they work. We'll also dive into some advanced concepts and provide hands-on example...

Introduction Gradient Boosting Machines (GBM) are a powerful ensemble learning technique that builds models sequentially, with each new model correcting the errors of the previous ones. This method is highly effective for both classification and regr...

In my previous blog, we explored the fascinating world of Decision Trees, a fundamental algorithm in machine learning. Today, we will take a step further into the realm of ensemble learning by diving into Random Forests. This blog aims to provide a c...

Before we begin make sure you check the previous article in this series here How do we know if our models are learning well or not? How do we measure their performance and improvement over time? How do we diagnose and fix common problems such as unde...
