Reading the data.
Preparation of the data.
Grouping the data.
Grouping the data (scaling).
Select the best number of groups.
Reading the data.
Preparation of the data.
Training and evaluation of the models.
Defining the best parameters.
Predicting.
Pasos básicos para entrenar modelos de clasificación y agrupamiento
Jupyter NotebookGPL-3.0
Reading the data.
Preparation of the data.
Grouping the data.
Grouping the data (scaling).
Select the best number of groups.
Reading the data.
Preparation of the data.
Training and evaluation of the models.
Defining the best parameters.
Predicting.