Day 22 : Hadoop Architecture : HDFS, MapReduce and YARNFinally, we get to know about Hadoop, exciting ain’t it? In the previous post, we learnt about the foundations of Big Data. To handle this Big Data we need an eco-system, and that eco-system is HadoopAug 18, 2026·8 min read
Day 17: K-Means Clustering – Discovering Hidden Groups in DataK-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 ...Aug 11, 2025·6 min read
Day 16: XGBoost (Extreme Gradient Boosting) : Ultimate Deep DiveXGBoost → a GBM but a faster version!! XGBoost is an upgraded, battle-hardened, production-ready version of Gradient Boosting. Just imagine: GBM is a smart but slow marathon runner. XGBoost is that same runner after years of training, with rocket s...Jul 30, 2025·7 min read
Day 15: Gradient Boosting (GBM) – The Layered LearnerNot everything perfect happens in the first attempt itself, Right? There might be mistakes on each and every step to the perfection. Correcting those mistakes eventually will lead to your success. This concept is something that revolves around our to...Apr 28, 2025·7 min read
Day 14: Naive Bayes Classifier – "Probability Meets Simplicity"Imagine you’re a doctor diagnosing a disease. You ask questions (symptoms), and based on probability tables you’ve built from past patients, you say “Hmm… 85% chance it’s the flu.” That’s Naive Bayes in action. Naive Bayes is a probabilistic classifi...Apr 23, 2025·7 min read
Day 13: Mastering Support Vector Machines (SVM)Let’s say you’re a bouncer at a nightclub. People arrive, and based on their outfit and age, you decide if they belong in the “VIP” area or the “General” crowd. Now, you want to draw a line (mentally or on paper) that clearly separates these two grou...Apr 18, 2025·8 min read
Day 12: K-Nearest Neighbors (KNN) – Learning by ProximityEver heard of a saying that a person is known by the group he sticks together. For example, if you tend to hang around scholars in school / college, you are automatically perceived as one. Similarly, in KNN (short form for K-Nearest Neighbours) we de...Apr 17, 2025·6 min read
