MKM Krunalinhierarclus.hashnode.dev·Feb 16 · 5 min readHierarchical Clustering📊 Hierarchical Clustering (Agglomerative) with Dendrogram Clustering is one of those concepts in data science that sounds complicated, but once you see how it actually works, it becomes very intuitive.In this blog, we will clearly understand Hierarc...00
MKM Krunalinkmeansalgo.hashnode.dev·Feb 8 · 6 min read📊 K-Means Clustering Algorithm🧭 Table of Contents 🔍 Introduction to Clustering 🧠 What is K-Means Clustering? 💡 Why do we use K-Means? 📌 Key Concepts of K-Means 🎯 Objective of K-Means ⚙️ Step-by-Step Working of K-Means 🧪 Hands-on Example (Manual Calculation – 2D Data...00
MKM Krunalinunsmachinelearn.hashnode.dev·Feb 2 · 6 min read♨️ Unsupervised Machine Learning📑 Index Introduction – Why Unsupervised Learning Matters What is Unsupervised Machine Learning? Major Types of Unsupervised Learning Why Clustering is So Important What is Clustering? A Real-World Case Study – Bank Customer Segmentation Clust...00
MKM Krunalinnaibay.hashnode.dev·Jan 26 · 5 min read📘 Naive BayesA human‑friendly guide 🧭 Index Introduction What is Naive Bayes? Real‑World Intuition (Doctor Example) Bayes’ Theorem Simplified Why It’s Called “Naive” Mathematical Formulation Worked Example: Spam Detection Case Study: Diabetes Prediction...00
MKM Krunalinkneigh.hashnode.dev·Jan 19 · 5 min readK-Nearest Neighbors (KNN)📌 K-Nearest Neighbors (KNN): A Simple Yet Powerful Machine Learning Algorithm Machine Learning doesn’t always have to be complex. Some of the most intuitive ideas come from how humans naturally think and behave. K-Nearest Neighbors (KNN) is one such...00
