Random Forest Training in Sheffield

Random Forest Training in Sheffield

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. Onsite live Random Forest trainings in Sheffield can be carried out locally on customer premises or in NobleProg corporate training centres.

NobleProg -- Your Local Training Provider

Sheffield - Chimney House

The Chimney House
4 Kelham Island
Sheffield S3 8RY
United Kingdom
,
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Sheffield - Chimney House
Learn Random Forest in our training center in Sheffield. The Chimney House is a creative and innovative space in the centre of Sheffield – the biggest feedback we receive from companies that use us is that they noticeably observe higher levels of performance and interaction from teams and individuals. The building is formed on the ethos of the truest form of recycling – 85% of furnitures, fittings and décor has been created from reclaim and salvage and matched with a ultra modern outlook. We host meetings, trainings, brainstorming sessions,... Read more

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Random Forest Course Events - Sheffield

Random Forest Course Outlines in Sheffield

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
This instructor-led, live training in Sheffield (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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