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Day 21 : Introduction to the Big Data Ecosystem

Jan 2 · 6 min read · Everyone uses YouTube. Every day there are millions of uploads (could be videos or shorts) on this popular video streaming channel. On top of that billions of people like, comment and share videos globally. These actions generate data, basically a di...

Day 20 : Neural Networks Basics (Perceptron, Forward & Backpropagation intro)

Nov 6, 2025 · 5 min read · Imagine that you are walking down on a road and you see a pet dog. Now you don’t have a neuron by the name of “dog neuron“ which classifies the animal in front of me as dogs, right? Instead your brain activates many neurons at once, out of these, soe...

Day 19: Principal Component Analysis (PCA)

Nov 5, 2025 · 4 min read · Imagine you’re moving to a small apartment, but you have an entire room filled with books, clothes, and gadgets. You can’t take everything (I face this issue most often myself), so you have to decide: Keep only the most important things Leave behin...

Day 18: Hierarchical Clustering – Building a Family Tree for Data

Aug 13, 2025 · 6 min read · Imagine you’re at a wedding. You don’t know many people there, so you start talking to the person closest to you. You realize you both love cricket, instant connection! A bit later, you and your new friend meet another person who also loves cricket, ...

Day 17: K-Means Clustering – Discovering Hidden Groups in Data

Aug 11, 2025 · 6 min read · K-Means is one of the simplest and most popular clustering algorithms.It finds groups in your data, and every point belongs to one of these groups (called clusters). Before we dive into K-Means, let's first set the stage. In supervised learning, you ...