NobleProg Wien

Modecenterstraße 22, Wien, Austria, 1030

Overview 

Our training facilities are located at Modecenterstrasse 22 in Vienna. Our spacious training rooms offer optimal training conditions for your needs. For questions and training registrations, please contact our company headquarters:

NobleProg Europe GmbH, Kolonnenstr. 8 10827 Berlin Deutschland

Directions 

The NobleProg training facilities are conveniently located near the A23 motorway and the nearest subway station, within walking distance, is the Zippererstrasse station.  

Parking spaces 

There are parking spaces in the surrounding streets around our training rooms.

Local infrastructure 

There are numerous restaurants within walking distance.

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 Vienna (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 Vienna (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 Vienna (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

AdaBoost Python for Machine Learning

2025-05-12 09:30
14 hours
NobleProg Wien
3472 EUR (Online)
3972 EUR (Classroom)

AdaBoost Python for Machine Learning

2025-05-26 09:30
14 hours
NobleProg Wien
3472 EUR (Online)
3972 EUR (Classroom)

LightGBM for Machine Learning

2025-06-09 09:30
21 hours
NobleProg Wien
5208 EUR (Online)
5958 EUR (Classroom)

AdaBoost Python for Machine Learning

2025-06-23 09:30
14 hours
NobleProg Wien
3472 EUR (Online)
3972 EUR (Classroom)

LightGBM for Machine Learning

2025-07-07 09:30
21 hours
NobleProg Wien
5208 EUR (Online)
5958 EUR (Classroom)

LightGBM for Machine Learning

2025-07-21 09:30
21 hours
NobleProg Wien
5208 EUR (Online)
5958 EUR (Classroom)

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