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.
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.
It's just great that all material including the exercises is on the same page and then it gets updated on the fly. The solution is revealed at the end. Cool! Also, I do appreciate that Krzysztof took extra effort to understand our problems and suggested us possible techniques.
Attila Nagy - L M ERICSSON LIMITED
Course: Machine Learning
Some great lab exercises analyzed and explained by the trainer in depth (e.g. covariants in linear regression, matching the real function)
L M ERICSSON LIMITED
Course: Machine Learning
It is showing many methods with pre prepared scripts- very nicely prepared materials & easy to traceback
Kamila Begej - GE Medical Systems Polska Sp. Zoo
Course: Machine Learning – Data science
All like it
Course: Machine Learning Fundamentals with Python
The trainer very easily explained difficult and advanced topics.
Course: Artificial Intelligence Overview
Communication with lecturers
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
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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