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.
Tecnologia
Python
Lingua
En
Valutazione
4.0
Capitoli
11
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
0%
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
Descrizione del corso
In this project, we are going to understand what a cluster is and how to use it in Python.
Recensioni
4.0of 5
2 valutazioni
0%
100%
0%
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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!
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?...
