Swansea

Princess House, Princess Way, Swansea, united kingdom, SA1 3LW

The Princess House Centre is located in the heart of Swansea with panoramic views over the city, Swansea Bay and the Gower area of outstanding natural beauty. These offices are in a prime location and have recently undergone a major refurbishment. Swansea is an inspiring place to do business in a superb natural environment. It is Wales' second largest city and the regional shopping, leisure, cultural, education and administrative centre for south west Wales. In recent years, it has experienced dramatic economic growth generated by a structured investment programme. This has transformed the city into a modern economy dominated by the service sector, which is estimated to employ about 86 per cent of the local workforce. Swansea is now home to a wide range of national and international companies in the financial, telecommunications and technology industries and is fast building a reputation as a city of innovation with a significant knowledge-based economy.

Subcategories (2)

Random Forest

Random Forest
AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours
This instructor-led, live training in Swansea (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 Swansea (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 Swansea (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
Swansea

Machine Learning with Random Forest

2025-05-21 09:30
14 hours
Swansea

LightGBM for Machine Learning

2025-06-04 09:30
21 hours
Swansea

AdaBoost Python for Machine Learning

2025-06-18 09:30
14 hours
Swansea

LightGBM for Machine Learning

2025-07-02 09:30
21 hours
Swansea

LightGBM for Machine Learning

2025-07-16 09:30
21 hours
Swansea

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Ensemble Learning Consulting
Ensemble Learning Staffing
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