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

Data Preparation

We have now seen that there are some extra columns with a lot of extra columns. What we will do now is dropping some columns and showing the most important infos of the dataset.

Task

Delete the following columns: "status_id", "status_published", "Column1", "Column2", "Column3", "Column4";
Print the info of the dataset.

Mark tasks as Completed

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Section 1. Chapter 4

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Python Clustering Demystified: Exploring Data Groups

Task

Start learning today and achieve coding mastery

Start learning today and achieve
coding mastery