# Machine Learning Tutorial Python – 13: K Signifies Clustering Algorithm

K Implies clustering algorithm is unsupervised machine learning technique applied to cluster knowledge points. In this tutorial we will go in excess of some principle powering how k usually means will work and then resolve profits group clustering problem working with sklearn, kmeans and python. Elbow technique is a approach utilised to decide ideal variety of k, we will evaluate that method as nicely.

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Code: https://github.com/codebasics/py/blob/grasp/ML/13_kmeans/13_kmeans_tutorial.ipynb

Physical exercise resolution: https://github.com/codebasics/py/blob/master/ML/13_kmeans/Training/13_kmeans_workout.ipynb

Matters that are protected in this Video:
:00 introduction
:08 Principle – Explanation of Supervised vs Unsupervised learning and how kmeans clustering works. kmeans is unsupervised learning
5:00 Elbow method
7:33 Coding (start out) (Cluster people today revenue dependent on age)
9:38 sklearn.cluster KMeans model development and schooling
14:56 Use MinMaxScaler from sklearn
24:07 Work out (Cluster iris flowers working with their petal width and length)

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Up coming Video:
Machine Learning Tutorial Python – 14: Naive Bayes Component 1: https://www.youtube.com/enjoy?v=PPeaRc-r1OI&listing=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw&index=15

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Scikit understand tutorials
Sklearn tutorials
Machine learning with scikit learn tutorials
Machine learning with sklearn tutorials

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