K Means clustering algorithm is unsupervised machine learning technique used to cluster data points. In this tutorial we will go over some theory behind how k means works and then solve income group clustering problem using sklearn, kmeans and python. Elbow method is a technique used to determine optimal number of k, we will review that method as well. #MachineLearning #PythonMachineLearning #MachineLearningTutorial #Python #PythonTutorial #PythonTraining #MachineLearningCource #kmeans #MachineLearningTechnique #sklearn #sklearntutorials #scikitlearntutorials Code: https://github.com/codebasics/py/blob... data link: https://github.com/codebasics/py/tree... Exercise solution: https://github.com/codebasics/py/blob... Topics that are covered in this Video: 0:00 introduction 0:08 Theory - Explanation of Supervised vs Unsupervised learning and how kmeans clustering works. kmeans is unsupervised learning 5:00 Elbow method 7:33 Coding (start) (Cluster people income based on age) 9:38 sklearn.cluster KMeans model creation and training 14:56 Use MinMaxScaler from sklearn 24:07 Exercise (Cluster iris flowers using their petal width and length)