K-Means Clustering Algorithm | Silhouette Method | Choosing Optimal K

K-Means Clustering model from Scratch : https://youtu.be/1m-alNQeEKs K-Means Elbow Method : https://youtu.be/8oM3zARpdcQ Also, watch our other playlists : 🚀 ML Models from Scratch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfR5mFMpF39dBuUueQFLZ910 🚀 Deep Learning with PyTorch : https://www.youtube.com/playlist?list=PLz6pthWWCdfRMjkzgzOVJZqVhvLk1gj9Q In this video, we'll dive into K-Means clustering algorithm and explore what's the best value of K? We'll discuss the different methods for selecting the optimal number of clusters, including the elbow method and silhouette analysis. Whether you're a data scientist, machine learning engineer, or just starting out with unsupervised learning, this video will provide you with a comprehensive guide to choosing the best K for your K-Means clustering algorithm. 🔍 What You'll Learn: • What is the Silhouette Score? • How to calculate it for K Means Clustering. • Hands-on Python implementation and visualization for clarity. 📊 Whether you're a beginner in Machine Learning or looking to sharpen your clustering skills, this video will provide practical insights and step-by-step guidance to make better data-driven decisions. Resources: 🔗 Code : https://github.com/mohangollapalli/ml_models/blob/4533730bde7f01ed19d110be5181d347e0c9786b/KMeans/kmeans_choosing_optimal_K.ipynb #datasciencetutorial #machinelearningtutorial #datascience #mlclustering #machinelearningprojects #datascienceprojects #kmeans #kmeansalgorithm #kmeansclustering #elbowmethod #unsupervisedlearning #clusteringalgorithm #SimplifiedAICourse Time breaks: 00:00 Elbow Method overview 01:27 Silhouette Coefficient 02:53 Silhouette score Interpretation 05:42 Python Implementation 07:34 Visualization Make sure to subscribe and hit the notification bell to get the latest on deep learning, machine learning, and Data Science tutorials! 💻 @SimplifiedAICourse