Geneva

Rue de Malatrex 14, Geneva, Siwtzerland, 1201

Overview

Our training facilities are located at Rue de Malatrex 14 in Geneva. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Geneva, within walking distance of the Rhone.

 

Directions

The NobleProg training facilities are located in the heart of downtown Geneva, the centre of this vibrant city.

 

Parking

Cars can be parked in the area along Rue de Malatrex and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.

 

Local Amenities

Around the Rue de Malatrex there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.

Subcategories (2)

Random Forest

Random Forest
AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours
This instructor-led, live training in Geneva (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 Geneva (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 Geneva (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.
Read more...

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Upcoming Courses

LightGBM for Machine Learning

2025-05-26 09:30
21 hours
Geneva
5208 CHF (Online)
5958 CHF (Classroom)

Machine Learning with Random Forest

2025-06-05 09:30
14 hours
Geneva
3472 CHF (Online)
3972 CHF (Classroom)

LightGBM for Machine Learning

2025-06-23 09:30
21 hours
Geneva
5208 CHF (Online)
5958 CHF (Classroom)

Machine Learning with Random Forest

2025-07-03 09:30
14 hours
Geneva
3472 CHF (Online)
3972 CHF (Classroom)

AdaBoost Python for Machine Learning

2025-07-17 09:30
14 hours
Geneva
3472 CHF (Online)
3972 CHF (Classroom)

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