Clustering Demystified

Edoardo Cantagallo

4.0

Python

11 Chapters

0 Studying now

In this project, we are going to understand what a cluster is and how to use it in Python.

Clustering Demystified

ADVANCED

4.0

#python

Author: Edoardo Cantagallo

Course description

In this project, we are going to understand what a cluster is and how to use it in Python.

Ratings & reviews

4.0 (2)

4.0out of 5

100%

2 ratings

Gage L.

139 days ago

Yo everyone! Let's do a challenge! I want everyone to leave a four-star review on "Clustering Demystified", no more, no less! "Clustering Demystified" will have 100% on the four-star mark for as long as possible! This is going down in history! Show more

Lex X.

221 days ago

Where is the generalization of the results of the "elbow method" graphs? So the number of points shown by the graph is optimal 2 or 4?...

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 2 Clusters

Check the Quality

How many Clusters?

K-Means Model with 4 Clusters

Complete all chapters to get certificate

In this project, we are going to understand what a cluster is and how to use it in Python.

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 2 Clusters

Check the Quality

How many Clusters?

K-Means Model with 4 Clusters