course content

Course Content

Python Clustering Demystified: Exploring Data Groups

1. Clustering

Introduction Import Necessary Libraries and Data Preliminary Analysis Data Preparation Declare Feature Vector and Target Variable Convert Categorical Variable into Integers Feature Scaling K-Means Model with Two Clusters Check the Quality How many Clusters?K-Means Model with 4 Clusters

Python Clustering Demystified: Exploring Data Groups

Preliminary Analysis

Task

Print the shape of your data;
Check for any NaN value.

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Section 1. Chapter 3

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