k-Means Clustering con Python Como se describió en el artículo anterior: Cluster Analysis, el método …
Inteligencia Artificial
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Clustering Analysis
Clustering Analysis El análisis clustering o de conglomerados es una técnica de clasificación y segmentación …
Classification with Decision Trees
Clasificación con Árboles de Decisión Los árboles CART (Classification and Regression Tree) constituyen árboles de …
Logistic regression
Regresión Logística La regresión logística es un método de clasificación, que a diferencia de la …
Support Vector Regression (SVR)
Regresión de Soporte Vectorial (Support Vector Regression – SVR) Support Vector Regression es una variante …
Regression trees using Python
In data mining, machine learning and / or data science, in terms of tree analysis, there are two main approaches: decision trees and regression trees. In both cases trees are predictive methods of segmentation, known as classification trees. They are sequential partitions of the data set made to maximize the differences of the dependent variable given that a division of the cases into groups is carried out. Through different indexes and statistical procedures, the most discriminating division among the selected criteria is determined, the one that makes it possible to better differentiate the different groups from the base criterion, thus obtaining a first segmentation. From that first segmentation, new segmentations are made of each of the resulting segments and so on until the process ends with some statistical rule.
Simple Linear Regression with Python
Regresión Lineal con Python Introducción a la Regresión Lineal La regresión lineal es uno de …
Pre-processing data with Python
Pre-procesamiento de datos Hoy en día disponemos de una gran cantidad de datos generados por …