MD, Baltimore - Legg Mason Tower

100 International Drive 23rd Floor, Baltimore, United States, 21202

A state-of-the-art, 24-story glass skyscraper that sits on the edge of Baltimore's Inner Harbor is the signature home of the Legg Mason office. It's located on the 23rd floor of this class-A office development, which is designed by world-renowned architects and boasts panoramic views. The office space benefits from the tower's ‘green' LEED credentials, proximity to Interstate 83 and excellent onsite amenities. Inner Harbor is the chief commercial and tourist destination in Baltimore and part of the Downtown area - the base for many key businesses.

Subcategories (2)

Image for the Random Forest

Random Forest
Image for the AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

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

2025-05-21 9:30 am
21 hours
MD, Baltimore - Legg Mason Tower
$ 4054 (Online)
$ 5554 (Classroom)

Machine Learning with Random Forest

2025-06-04 9:30 am
14 hours
MD, Baltimore - Legg Mason Tower
$ 2703 (Online)
$ 3703 (Classroom)

AdaBoost Python for Machine Learning

2025-06-18 9:30 am
14 hours
MD, Baltimore - Legg Mason Tower
$ 2703 (Online)
$ 3703 (Classroom)

LightGBM for Machine Learning

2025-07-02 9:30 am
21 hours
MD, Baltimore - Legg Mason Tower
$ 4054 (Online)
$ 5554 (Classroom)

AdaBoost Python for Machine Learning

2025-07-16 9:30 am
14 hours
MD, Baltimore - Legg Mason Tower
$ 2703 (Online)
$ 3703 (Classroom)

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Ensemble Learning Consulting
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