Aberdeen

Regus Aberdeen Berry Street, 1 Berry Street, Aberdeen, united kingdom, AB25 1HF

The Berry Street Centre occupies a three-storey 1950s building, which has recently been refurbished to a high specification. It is in a prominent and convenient location in the heart of Aberdeen's busy and thriving retail and business area and close to all amenities. The off-shore oil capital of Europe, Aberdeen is known for its outward looking, pioneering spirit. Over the last 30 years, the city has reinvented itself from a regional port dependent upon fishing, farming and tourism, to become the centre of the UK's energy industry and one of Europe's most enterprising regions. It boasts the second highest rate of business formation and the highest concentration of knowledge based businesses in Scotland and is a founding member of the World Energy Cities Partnership. Other important sectors in the city's economy include tourism and distribution, the public sector, financial services, manufacture, agriculture and food processing, IT and construction.

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 Aberdeen (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 Aberdeen (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 Aberdeen (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
Aberdeen

Machine Learning with Random Forest

2025-05-21 09:30
14 hours
Aberdeen

LightGBM for Machine Learning

2025-06-04 09:30
21 hours
Aberdeen

AdaBoost Python for Machine Learning

2025-06-18 09:30
14 hours
Aberdeen

LightGBM for Machine Learning

2025-07-02 09:30
21 hours
Aberdeen

LightGBM for Machine Learning

2025-07-16 09:30
21 hours
Aberdeen

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