DKDivyajot Kaurinai-beginners-journey.hashnode.dev·4d ago · 6 min readPart 17: Principal Component Analysis (PCA): Simplifying Complex Data Imagine you're taking a trip and your phone has hundreds of photos from different places. Looking through every single photo to understand your trip would take a lot of time. Instead, you might select00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Jul 31 · 5 min readPart 16: Hierarchical Clustering: How Data Forms a Tree of GroupsImagine you're organizing a family reunion. At first, everyone is together in one big group. Then you notice that some people are siblings, some are cousins, and some belong to different branches of t00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Jul 24 · 6 min readPart 15: How Does K-Means Clustering Group Similar DataImagine you've organized a birthday party. As your guests arrive, something interesting happens without anyone giving instructions. Friends from school gather together, office colleagues form another 20
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Jul 16 · 6 min readPart 14: Understanding Decision Trees in Machine LearningImagine you're planning a weekend outing with your friends. You start asking a series of simple questions: Is the weather sunny? Yes → Go for a picnic. No → Ask another question. Is it raining h00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Jul 3 · 5 min readPart 13: K-Nearest Neighbors (KNN): Making Predictions Using Similar DataImagine you're visiting a new city and want to try a good restaurant. You don't know which restaurant is the best, so what do you do? You ask a few people nearby for recommendations. If most people r00
