Random Forest Training in Portsmouth

Random Forest Training in Portsmouth

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

NobleProg -- Your Local Training Provider

Portsmouth - North Harbour

Building 1000, Lakeside North Harbour, Western Road
Portsmouth, HAM PO6 3EZ
United Kingdom
,
See map: Google Maps
Hampshire GB
Portsmouth - North Harbour
Learn Random Forest in our training center in Portsmouth.

The training rooms are located within a 20 minute walk from Cosham Railway station. A taxi service from the station is also available.

While you are enjoying your NobleProg training course in Portsmouth try to make time to visit the Portsmouth and Southsea waterfront locations which are becoming a a favourite location as a waterfront destination and offers a great mix of history, heritage, shopping, bars, restaurants and entertainment.

Take a walk around Portsmouth...

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Testimonials

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Random Forest Course Events - Portsmouth

Random Forest Course Outlines in Portsmouth

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