Baltimore, MD – Regus at Inner Harbor Center

400 East Pratt Street Downtown, 8th Floor, Baltimore, United States, 21202

The venue is situated in the prominent Inner Harbor Center, easily reached by car via I‑95 or I‑395 with several nearby public parking garages and on-site parking available. From Baltimore/Washington International Thurgood Marshall Airport (BWI), about 10 miles south, a taxi or rideshare typically takes 15–20 minutes via I‑95 North. Public transit options include Baltimore Light Rail at Harbor East station (a two-minute walk) and multiple MTA bus routes along Pratt Street, making the venue conveniently accessible without a vehicle.

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 Baltimore (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 Baltimore (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 Baltimore (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

2025-08-20 9:30 am
21 hours
Baltimore, MD – Regus at Inner Harbor Center
$ 4054 (Online)
$ 4054 (Classroom)

Machine Learning with Random Forest

2025-09-03 9:30 am
14 hours
Baltimore, MD – Regus at Inner Harbor Center
$ 2703 (Online)
$ 2703 (Classroom)

AdaBoost Python for Machine Learning

2025-09-17 9:30 am
14 hours
Baltimore, MD – Regus at Inner Harbor Center
$ 2703 (Online)
$ 2703 (Classroom)

LightGBM for Machine Learning

2025-10-01 9:30 am
21 hours
Baltimore, MD – Regus at Inner Harbor Center
$ 4054 (Online)
$ 4054 (Classroom)

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