The Hague

The Office Operators , Schenkkade 50, The Hague, Netherlands, 2595 AR

Attend training courses at a top location in the business district of The Hague with Professional and modern meeting rooms fitted to your needs, with excellent accessibility. The Haagsche Zwaan has it all. In the center just a few minutes away from the train station Den Haag Laan van NOI and the exit 3 of highway A12 you will find De Haagse Zwaan. Train and metro (line E The Hague Central or Laan NOI) are at 8 minutes walking distance. Tram stop Beatrixkwartier for the Randstadrail line 3 and 4 is at a 3 minute walk.

Subcategories (2)

Category for Random Forest

Random Forest
Category for AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours
This instructor-led, live training in The Hague (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 The Hague (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 The Hague (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

2025-06-23 09:30
14 hours
The Hague

LightGBM for Machine Learning

2025-07-07 09:30
21 hours
The Hague

AdaBoost Python for Machine Learning

2025-07-21 09:30
14 hours
The Hague

AdaBoost Python for Machine Learning

2025-08-04 09:30
14 hours
The Hague

Machine Learning with Random Forest

2025-08-18 09:30
14 hours
The Hague

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Ensemble Learning Consulting
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