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

Tekijä: Edoardo Cantagallo

Kurssin kuvaus

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

Arvosanat ja arvostelut

4.0 (2)

4.0/ 5

100%

2 arvosanat

Gage L.

päivää sitten

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! Näytä lisää

Lex X.

päivää sitten

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

Suorita kaikki luvut koko kurssista saadaksesi virallisen todistuksen

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