Random Forest Training in Belfast City

Random Forest Training in Belfast City

Online or onsite, instructor-led live Random Forest training courses demonstrate through interactive hands-on practice how to use Random Forest to build machine learning algorithms for large datasets.

Random Forest training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Belfast City onsite live Random Forest trainings can be carried out locally on customer premises or in NobleProg corporate training centres.

NobleProg -- Your Local Training Provider

Belfast City Centre

Forsythe House - Belfast
Cromac Square
Belfast, ANT BT2 8LA
United Kingdom
,
See map: Google Maps
County Antrim GB
Belfast City Centre
Learn Random Forest in our training center in Belfast City. The Cromac Street Centre is located in a office development with a three-storey glass-fronted lobby on a prominent corner site in Belfast's city centre. It is strategically positioned in a major business area alongside some leading financial and IT institutions, at the apex for main arterial routes through the city and close to major entertainment and retail zones. Belfast has benefited from sustained investment and rapid economic growth and is now a flourishing and confident city where... Read more

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Random Forest Course Events - Belfast City

Random Forest Course Outlines in Belfast City

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Belfast City (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to build machine learning algorithms for large datasets.

By the end of this training, participants will be able to:

- Set up the necessary development environment to start building machine learning models with Random forest.
- Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems.
- Learn how to handle large datasets and interpret multiple decision trees in Random Forest.
- Evaluate and optimize machine learning model performance by tuning the hyperparameters.

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