Edinburgh

83 Princes Street , Edinburgh, united kingdom, EH2 2ER

The training rooms is located under a 10 minute walk from Edinburgh Rail Station

This centre's location on Edinburgh's world-famous Princes Street takes some beating. Right in the centre of Scotland's capital city, these prestigious business premises are spread across six floors with fantastic views over Princes Street Gardens towards the Royal Mile and Edinburgh Castle. As well as having all the usual amenities of a major city on its doorstep, the building also has a car park. Prosperous Edinburgh is a global centre for business, science, education and the arts and is said to have the strongest economy of any UK city outside London. Banking has been a part of the economic life of Edinburgh for over 300 years and today it is the UK's second financial centre after London and Europe's fourth by equity assets. Tourism, financial services and banking are particularly important employers as well as education, the public sector and hi-tech research and development. See all locations in Edinburgh

Subcategories (2)

Image for the Random Forest

Random Forest
Image for the AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours
This instructor-led, live training in Edinburgh (online or onsite) is aimed at beginner to intermediate-level developers and data scientists who wish to learn the basics of LightGBM and explore advanced techniques. By the end of this training, participants will be able to:
  • Install and configure LightGBM.
  • Understand the theory behind gradient boosting and decision tree algorithms
  • Use LightGBM for basic and advanced machine learning tasks.
  • Implement advanced techniques such as feature engineering, hyperparameter tuning, and model interpretation.
  • Integrate LightGBM with other machine learning frameworks.
  • Troubleshoot common issues in LightGBM.
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AdaBoost Python for Machine Learning

 14 Hours
This instructor-led, live training in Edinburgh (online or onsite) is aimed at data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for machine learning with Python. By the end of this training, participants will be able to:
  • Set up the necessary development environment to start building machine learning models with AdaBoost.
  • Understand the ensemble learning approach and how to implement adaptive boosting.
  • Learn how to build AdaBoost models to boost machine learning algorithms in Python.
  • Use hyperparameter tuning to increase the accuracy and performance of AdaBoost models.
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Machine Learning with Random Forest

 14 Hours
This instructor-led, live training in Edinburgh (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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Provisional Upcoming Courses (Contact Us For More Information)

Machine Learning with Random Forest

2025-05-07 09:30
14 hours
Edinburgh

Machine Learning with Random Forest

2025-05-21 09:30
14 hours
Edinburgh

LightGBM for Machine Learning

2025-06-04 09:30
21 hours
Edinburgh

AdaBoost Python for Machine Learning

2025-06-18 09:30
14 hours
Edinburgh

LightGBM for Machine Learning

2025-07-02 09:30
21 hours
Edinburgh

LightGBM for Machine Learning

2025-07-16 09:30
21 hours
Edinburgh

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