Diploma

Predictive Modeling & 

Machine Learning

Diploma

Prepare yourself with the highest quality that only the PUCV can give you, practice and understand the theory with professors with a lot of experience, cloud technology and the latest techniques of modeling and machine learning

45

1500

15

 

Teachers

Jose Ruette

  • close-envelope
  • Blanco Icono LinkedIn
  • grid-world
CO-FOUNDER, Statknows
Proud Ex-Statistician at Evalueserve

Syllabus


Basic Topics

 

  • Descriptive statistics for prior data exploration

  • Inferential statistics

  • Time series

 

Advanced Topics

 

 

Predictive models applied during the dictation of classes

  • Multiple Linear Regression

  • Logistic regression

  • Decision Trees

  • Neural Networks

  • Self supported vectors

  • ARIMA models

  • VAR models

  • GARCH models

 

Steps for predictive modeling applied to the proposed models

 

  • Understanding predictive models

  • Challenges of predictive models

  • Adjustment of predictive models

  • Preparing data for modeling

  • Reducing the dimensional problem of the variables

  • Reviewing the interaction of the variables

  • Measuring the fit of the model

  • Temporary forecast models

Place

Evalueserve Chile

Álvarez 646, Viña del Mar, Región de Valparaíso

DATES

2018

2019

Sponsor

EVS_LOGO_RGB_tranparent.png
 
 
 
 

© 2019 Modelado Predictivo y Machine Learning con aplicaciones empresariales