Random Forest Training in Swindon

Random Forest Training in Swindon

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 training can be carried out locally on customer premises in Swindon or in NobleProg corporate training centres in Swindon.

NobleProg -- Your Local Training Provider

Swindon

Windmill Hill Business, Park Whitehill Way
Swindon, WIL SN5 6QR
United Kingdom
,
See map: Google Maps
Wiltshire GB
Swindon
Learn Random Forest in our training center in Swindon.

Located on the western side of Swindon and located only 300yds from junction 16 of the M4 providing easy access to both the south west and south east.
By train London Paddington is only 1 hour away and Bristol temple meads 45 minutes from Swindon’s mainline station.

Swindon town centre is only a 5 min drive away and offers all modern restaurant and shopping facilities, for those who prefer a slower pace areas such as Lydiard Country Park are located within 1 mile of the...

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Random Forest Course Events - Swindon

Random Forest Course Outlines in Swindon

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