Montpellier, Garosud

NobleProg Montpellier, 48, rue Claude Balbastre, Montpellier, france, 34070

– Access Tram stop Victoire 2 Line 2 direction Saint Jean de Védas. -Tram access then Bus take tram line 2 Sabine stop towards Saint Jean de Védas then the “La Ronde” bus stop Patrice Lumumba. - Access by car from the A9 exit 31 “Saint Jean de Védas” Montpellier Ouest, silver cross MOSSON. -Access by train from Saint Roch station, Tram line 2 towards Saint Jean de Védas, Victory 2 stop. – Access by plane from Montpellier airport 10 minutes by car, exit 31 of the A9 towards Barcelona or by bus from the airport line 120 to Place de l'Europe then Tram line 2 towards Saint Jean de Védas stop Victory 2

Subcategories (2)

Random Forest

Random Forest
AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours
This instructor-led, live training in Montpellier (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 Montpellier (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 Montpellier (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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Upcoming Courses

LightGBM for Machine Learning

2025-06-16 09:30
21 hours
Montpellier, Garosud
3750 EUR (Online)
4350 EUR (Classroom)

LightGBM for Machine Learning

2025-06-30 09:30
21 hours
Montpellier, Garosud
3750 EUR (Online)
4350 EUR (Classroom)

LightGBM for Machine Learning

2025-07-14 09:30
21 hours
Montpellier, Garosud
3750 EUR (Online)
4350 EUR (Classroom)

AdaBoost Python for Machine Learning

2025-07-28 09:30
14 hours
Montpellier, Garosud
2550 EUR (Online)
2950 EUR (Classroom)

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