Clustering Demystified

Edoardo Cantagallo

2.8

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.

Technology

Python

Language

Rating

2.8

Chapters

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

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

Description du cours

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

Reviews

2.8of 5

4 évaluations

50%

25%

Gage L.

il y a jours

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!

Lex X.

il y a jours

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?...

Joshua S.

il y a jours

continues to hang for the elbow method, even with the correct answers, or at least what seems to be given. Hints need to be more direct, so at least, if the program hangs you know the answer.

Ivan K.

il y a jours

Poorly prepared material, it is imposible fo walk it. Needed resourse files is absent "Live.csv"...