Munich

NobleProg München , Landshuter Allee 8-10, München, germany, 80637

Overview 

Our training facilities are located at Landshuter Allee 8-10 in Munich. Thanks to good transport connections, our spacious training rooms are easy to reach and offer optimal training conditions.

 

Directions 

The NobleProg training facilities are conveniently located not far from the A95 and A96 motorways. The underground station Rotkreuzplatz and the S-Bahn station Donnersbergerbrücke are within walking distance. 

 

Parking spaces 

There are numerous free parking spaces around our training rooms.

 

Local infrastructure 

Not far from Landshuter Allee you will find various restaurants and in the nearby Arnulfstrasse there are several hotels.

Subcategories (2)

Random Forest

Random Forest
AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

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

2025-05-07 09:30
21 hours
Munich
5208 EUR (Online)
5808 EUR (Classroom)

LightGBM for Machine Learning

2025-05-21 09:30
21 hours
Munich
5208 EUR (Online)
5808 EUR (Classroom)

AdaBoost Python for Machine Learning

2025-06-04 09:30
14 hours
Munich
3472 EUR (Online)
3872 EUR (Classroom)

Machine Learning with Random Forest

2025-06-18 09:30
14 hours
Munich
3472 EUR (Online)
3872 EUR (Classroom)

AdaBoost Python for Machine Learning

2025-07-02 09:30
14 hours
Munich
3472 EUR (Online)
3872 EUR (Classroom)

LightGBM for Machine Learning

2025-07-16 09:30
21 hours
Munich
5208 EUR (Online)
5808 EUR (Classroom)

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