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

Autore: Edoardo Cantagallo

Descrizione del corso

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

Valutazioni e recensioni

4.0 (2)

4.0di 5

100%

2 valutazioni

Gage L.

giorni fa

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! Mostra di più

Lex X.

giorni fa

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

Completa tutti i capitoli per ottenere il certificato

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