K-Means Clustering model from Scratch using Python | Step-by-Step Guide

ML models from Scratch - K-Means Clustering Implementation from Scratch with Python “ML models from Scratch” Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfR5mFMpF39dBuUueQFLZ910 KNN Implementation with Python from Scratch : https://youtu.be/RtDA-2flZrI Logistic Regression with Python from Scratch : https://youtu.be/I11gZvGNcyI Linear Regression with Python from Scratch : https://youtu.be/2-EQdSFkYLs Learn how to implement K-Means Clustering from scratch using Python in this comprehensive tutorial. K-Means Clustering is a popular unsupervised machine learning algorithm used for data clustering and segmentation. In this video, we'll dive into the mathematics behind K-Means Clustering and implement it from scratch using Python. You'll learn how to write the K-Means algorithm from the ground up, including data preprocessing, centroid initialization, and cluster assignment. By the end of this video, you'll have a solid understanding of how K-Means Clustering works and be able to apply it to your own machine learning projects. Whether you're a beginner or an experienced data scientist, this video is perfect for anyone looking to improve their skills in machine learning and Python programming. 🎯 Topics covered in this video: ⌨️ K-Means Algorithm : Steps ⌨️ K-Means Implementation with Python - K, Centroid initialization, cluster assignment, updating centroids, convergence. ⌨️ Plotting the clusters along with Centroids. Resources: 🔗 Code : https://github.com/mohangollapalli/ml_models/tree/4533730bde7f01ed19d110be5181d347e0c9786b/KMeans 💡 Why This Video? This tutorial is designed to help you not only code the model but also grasp the underlying concepts that power K-Means Clustering algorithm. Whether you're prepping for a data science interview or looking to build your own projects, mastering Clustering algorithms will set a strong foundation for more advanced machine learning techniques. #kmeans #kmeansclustering #kmeansfromscratch #unsupervisedlearning #clustering #kmeanspython #mlfromscratch #datasciencetutorial #machinelearningtutorial #pythonml #clusteringalgorithm #pythonfromscratch #kmeansalgorithm #learnkmeans #datascience #mlclustering #machinelearningprojects #datascienceprojects #kmeanscode #clusteringinpython #customersegmentation #SimplifiedAICourse Time breaks: 00:00 Intro. & K-Means algorithm Steps 00:49 Centroid Initialization : Random Initialization. 01:37 Cluster label assignment, recompute centroids, convergence. 04:28 Dataset and data pre-processing. 06:35 Implementing Step 1, 2: Choosing K, centroid initialization. 08:05 Implementing Step 3: Assign cluster labels 14:26 Implementing Step 4, 5 and Convergence 18:51 Plotting the clusters with centroids Make sure to subscribe and hit the notification bell to get the latest on deep learning, machine learning, and Data Science tutorials! 💻 @SimplifiedAICourse