Unsupervised Machine Learning - Flat Clustering with KMeans with Scikit-Learn and Python

Learn to implement flat clustering using KMeans algorithm with Scikit-learn and Python in this 25-minute unsupervised machine learning tutorial. Explore how to categorize unlabeled data into a specified number of categories, import Numpy, create scatter plots and Numpy arrays, implement KMeans, generate centroids and labels, and visualize results through graphing. Follow along with sample code and gain practical insights into unsupervised learning techniques for data categorization.

Intro
Import Numpy
Create Scatter Plot
Create Numpy Array
Create KMeans
Create Centroids
Labels
Graphing
Coding