Online or onsite, instructor-led live Ensemble Learning training courses demonstrate through interactive hands-on practice how to use ensemble machine learning techniques to combine multiple models for improved prediction accuracy and robustness.
Ensemble Learning training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Ensemble Learning trainings in Rabat can be carried out locally on customer premises or in NobleProg corporate training centers.
Ensemble Learning is also known as Ensemble Methods or Ensemble Modeling.
NobleProg -- Your Local Training Provider
7AY Rabat
Zone industrielle , Takadoum, morocco, X5RW+M6 Rabat, M
Unwind and open your mind in this relaxed environment, ideal for immersing yourself in a learning experience. This facility offers a large range of services in a modern and fresh environment.
7AY coliving is a service provided by 7AY so that Digital nomads can benefit from a fully furnished and equipped living units located near the city centre. It's all about working and learning in complete freedom and utter comfort.
Regus - Mahaj Hay Ryad
Immeuble Mahaj Ryad Center , Rabat , morocco, 10100
In a city renowned for its magnificent architecture, it's no surprise that office space for rent in Rabat is also something special. The Regus Ryad Center is a striking modernist structure, part of an incredible business park, in the center of the Hay Ryad commercial district. Inside this ultra-modern building with angular walls, you'll find offices, coworking spaces, and meeting rooms, all equipped with high-speed Wi-Fi and temperature controls.
As you exit the building, you will find yourself on Annakhil Avenue, one of the city's main arteries, which is filled with restaurants, shops, gyms and other amenities. Nearby you will find the Mohammed V theater, but also many other iconic historical monuments inside and outside the city of Rabat. It can be reached easily with the Aswak Assalem Bus Stop, just a 15-minute walk away. In addition, a quick taxi ride to Rabat Agdal station connects you to the rest of the city, as well as to all of Morocco.
This instructor-led, live training in Rabat (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.
This instructor-led, live training in Rabat (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.
This instructor-led, live training in Rabat (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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