Santiago - El Golf

Avenida Apoquindo 3600, Piso 5, Santiago, Chile, 7550108

The Center occupies the fifth and ninth floors of a modern office block with an attractive, spacious reception area. It has its own secure underground parking and is protected by 24-hour CCTV. It is just a few minutes' walk from an underground railway station. Arturo Meriono Benitez International Airport is 26km away.

Santiago - Vitacura

Avenida Vitacura 2670, Floor 15, Santiago, Chile, 7550698

The Santiago Vitacura Center is located on the 15th floor of one of the newest high-rise buildings in the city, situated near El Bosque, an attractive business and residential district, and adjacent to the Santiago World Trade Center. The Center has its own on-site coffee bar and secure underground parking. There are good public transport connections, and the international airport is 40 minutes away.

Subcategories (2)

Image for the Random Forest

Random Forest
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AdaBoost

Explore Our Courses

LightGBM for Machine Learning

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

AdaBoost Python for Machine Learning

2025-05-19 09:30
14 hours
Santiago - El Golf
UF 98,43 (Online)
UF 288,43 (Classroom)

AdaBoost Python for Machine Learning

2025-06-02 09:30
14 hours
Santiago - Vitacura
UF 98,43 (Online)
UF 328,43 (Classroom)

LightGBM for Machine Learning

2025-06-16 09:30
21 hours
Santiago - El Golf
UF 142,18 (Online)
UF 427,18 (Classroom)

LightGBM for Machine Learning

2025-06-30 09:30
21 hours
Santiago - Vitacura
UF 142,18 (Online)
UF 487,18 (Classroom)

Machine Learning with Random Forest

2025-07-14 09:30
14 hours
Santiago - El Golf
UF 98,43 (Online)
UF 288,43 (Classroom)

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