IL, Chicago - CBD - West Loop Riverside Plaza Center

10 South Riverside Plaza Suite 875, Chicago, United States, 60606

The CBD West Loop Riverside Plaza Center is a unique, recently renovated building facing the Chicago River. Located on the outskirts of the Loop, this center is excellent for commuters from the suburbs, with the Ogilvie train station and Union Station two blocks down the street. Amenities include an enhanced business lounge with two Thinkpods to help you focus, a fintness lounge and two full-service restaurants on-site. Our 42 person meeting room is ideal for all forms of training sessions.

Subcategories (2)

Category for Random Forest

Random Forest
Category for AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours

This instructor-led, live training in Illinois (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 Illinois (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 Illinois (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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Ensemble Learning Consulting
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