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Clustering data that can be plotted on a line
Step 1: Select number of clusters
Select initial clusters
Assessing quality of clustering
K-means clustering process
Trying different values for K
Reduction in variance per value for K
What if our data isn't plotted on a number line?
Clustering heatmaps
Conclusion
introduction
Theory - Explanation of Supervised vs Unsupervised learning and how kmeans clustering works. kmeans is unsupervised learning
Elbow method
Coding (start) (Cluster people income based on age)
sklearn.cluster KMeans model creation and training
Use MinMaxScaler from sklearn
Exercise (Cluster iris flowers using their petal width and length)
Introduction
K-Means Clustering Theory
Jupyter Notebook Loading Data & Importing Libraries
Applying a Standard Scaler
Identifying Optimum Number of Clusters - Elbow Plot
Appling K-Means Clustering Algorithm
Plotting K-Means Clustering Results on a Scatter Plot
Comparing Results from Multiple K Values
Other Clustering Methods & Outro