Seattle, WA – Regus at Smith Tower

506 Second Ave, Suite 1400, Seattle, United States, 98104

The venue is located in the historic Smith Tower building in Pioneer Square, easily accessed by car via I‑5, I‑90, or I‑405, with nearby parking garages and street parking connected to the tower. From Seattle–Tacoma International Airport (SEA), a taxi or rideshare takes approximately 25–30 minutes via I‑5 North and Airport Way. Public transit is seamless: the Pioneer Square light rail station is just a 1-minute walk, and multiple King County Metro bus routes run along 2nd Avenue—making it highly convenient for attendees arriving without a car.

Olympia, WA

415 Capitol Way N, Olympia, United States, 98501

The venue is conveniently located in downtown Olympia, with ample public parking available in nearby garages and on the street. For those arriving by air, Olympia Regional Airport (OLM) is just 5 miles away, making it an ideal option for regional travelers. Attendees can also take advantage of the city’s public transit system, as the venue is within walking distance of several Intercity Transit bus routes and easily accessible from downtown Olympia transit hubs.

Seattle, WA

808 Howell St, Seattle, United States, 98101

The venue is easily accessible by car via I‑5 and I‑90, with on-site parking available for a fee and additional public garages nearby. For those traveling by air, Seattle–Tacoma International Airport (SEA) is approximately 15 miles away and offers various transfer options to the city. Public transportation is also convenient, with Westlake Station—serviced by both bus and light rail—just a short walk away, along with access to major downtown Seattle bus lines.
NobleProg Training Place, City Seattle, WA - Regus at Seattle City

Seattle, WA - Regus at Seattle City

1420 5th Ave, Seattle, United States, 98101

The venue is conveniently located in downtown Seattle and can be easily reached by car via I‑5 and I‑90, with several public parking garages available nearby. For those arriving by air, Seattle–Tacoma International Airport (SEA) is approximately 15 miles away. The location is also well-served by public transit, just steps from major bus stops and light rail stations.

Subcategories (2)

Random Forest

Random Forest
AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours

This instructor-led, live training in Washington (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 Washington (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 Washington (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

2025-09-22 9:30 am
21 hours
Seattle, WA
$ 4054 (Online)
$ 4054 (Classroom)

Machine Learning with Random Forest

2025-10-06 9:30 am
14 hours
Seattle, WA
$ 2703 (Online)
$ 2703 (Classroom)

AdaBoost Python for Machine Learning

2025-10-20 9:30 am
14 hours
Seattle, WA
$ 2703 (Online)
$ 2703 (Classroom)

LightGBM for Machine Learning

2025-11-03 9:30 am
21 hours
Seattle, WA
$ 4054 (Online)
$ 4054 (Classroom)

AdaBoost Python for Machine Learning

2025-11-17 9:30 am
14 hours
Seattle, WA
$ 2703 (Online)
$ 2703 (Classroom)

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