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.
Tecnología
Python
Lengua
En
Calificación
4.0
Capítulos
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
Descripción del curso
In this project, we are going to understand what a cluster is and how to use it in Python.
Reseñas
4.0of 5
2 calificaciones
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Gage L.
días atrás
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.
días atrás
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?...
