Blogs

Machine Learning

Deep dives into ML concepts, implementations, and applications

From why we need memory in neural networks to the math of Backpropagation Through Time - a deep dive into RNNs

January 01, 2026

In this blog we are gonna learn about KNN and implement them using iris dataset

July 10, 2025

In this blog we are gonna build a neural network to classify handwritten digits from the MNIST dataset using only numpy

June 10, 2025

Implement a neural network from scratch, without using any libraries such as PyTorch, TensorFlow, etc.

May 14, 2025

This is an introductory blog to neural networks where I have tried to explain how a Neural Network works and how it was developed.

April 14, 2025

Understanding the problem of Overfitting, best methods for resolving and learning about Regularisation and its types

March 22, 2025

Understanding Gradient Descent from Basics along with Mathematical Formulas and Visualisation

February 16, 2024

Exploring state-of-the-art NLP techniques and model architectures

March 12, 2024

February 27, 2025

Things which I feel needs to be written down