$800 – $1,600

Learn Applied Machine Learning in R with Max Kuhn

Event Information

Share this event

Date and Time

Location

Location

Ebay Office

625 6th Ave

New York, NY 10011

View Map

Refund Policy

Refund Policy

Refunds up to 30 days before event

Event description

Description

Learn modern machine learning with the creator of the caret package, Max Kuhn.

This two-day workshop will step through the process of building, visualizing, testing and comparing models that are focused on prediction. The goal of the workshop is to provide a thorough workflow in R that can be used with many different regression or classification techniques. Case studies are used to illustrate functionality. Basic familiarity with R is required.

By the end of this workshop, you should be able to easily build predictive/machine learning models in R using a variety of packages and model types.

Participants will receive a copy of Max Kuhn's book, Applied Predictive Modeling.

Before class everyone should install R, RStudio and the following packages.

The workshop is broken into five parts.

Part 1 Introduction

Part 2 Basic Principals: Data Splitting, Models in R, Resampling, Tuning

Part 3 Feature Engineering and Preprocessing: Data treatments

Part 4 Regression Modeling: Measuring Performance, penalized regression, multivariate adaptive regression splines (MARS), ensembles

Part 5 Classification Modeling: Measuring Performance, trees, ensembles, naive Bayes

For more information please contact us.


Share with friends

Date and Time

Location

Ebay Office

625 6th Ave

New York, NY 10011

View Map

Refund Policy

Refunds up to 30 days before event

Save This Event

Event Saved