MACHINE LEARNING - Algoritmos de Clasificación
MACHINE LEARNING - Algoritmos de Clasificación
Horario: sábados de 9 a 13
Comienzo: sábado 8 de junio
LUGAR: Sede Lima (Lima e Hipólito Yrigoyen)
Horas: 20 en 5 clases de cuatro horas

ARANCEL DEL CURSO: $4.900
Precio especial abonando antes del 1 de junio: $3.900

MACHINE LEARNING - Algoritmos de Clasificación

A lo largo del curso construiremos 10 proyectos prácticos usando Python y Scikit Learn

What is Machine Learning?

Logistic Regression

Logistic Regression Introduction and Learning Outcomes
Logistic Regression Intuition
Confusion Matrix Overview
Logistic Regression - Project #1
Logistic Regression - Project #2 Overview
Logistic Regression - Project #2


Support Vector Machines

Support Vector Machines Intro and Learning Outcomes
Support Vector Machines - Intuition
Support Vector Machines - Project #1
Support Vector Machines - Project #2 Overview
Support Vector Machines - Project #2

K-Nearest Neighbors

K-Nearest Neighbors Intro and Learning Outcomes
K-Nearest Neighbors - Intuition
KNN - Project #1
KNN - Project #2 Overview
KNN - Project #2

Decision Trees and Random Forest

Decision Trees and Random Forest Intro and Learning Outcomes
Decision Trees - Intuition
Random Forest - Intuition
Decision Trees & Random Forest - Project #1
Decision Trees & Random Forest - Project #2 Overview
Decision Trees & Random Forest - Project #2

Naive Bayes Classifiers

Naive Bayes Intro and Learning Outcomes
Naive Bayes Intuition
Naive Bayes - Mathematics
Naive Bayes - Project #1
Naive Bayes - Project #2 - Overview
Naive Bayes - Project #2 - Part #1

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