HI, Honolulu - Waterfront

7 Waterfront Plaza, 500 Ala Moana Blvd. Suite 400, Honolulu, United States, 96813

Honolulu business center is located at 7 Waterfront Plaza in the commercial district of Kakako. It sits in the midst of the Waterfront Plaza, a busy cluster of business, retail and restaurant properties. The center is in between Waikiki and downtown Honolulu. Tenants are situated close to the islands largest business areas without all of the traffic. This center is only a few miles from Honolulu International Airport.

HI, Kapolei - Waterfront

7 Waterfront Plaza, Suite 400,, 500 Ala Moana Blvd., Honolulu, United States, 96813

Waterfront Plaza is located along the vibrant Ala Moana Boulevard corridor linking Waikiki, Honolulu's Central Business District, and Honolulu International Airport. It offers convenient access to bus lines and public transportation.

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 Hawaii (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 Hawaii (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 Hawaii (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
HI, Honolulu - Waterfront
$ 4054 (Online)
$ 4954 (Classroom)

Machine Learning with Random Forest

2025-06-04 9:30 am
14 hours
HI, Kapolei - Waterfront
$ 2703 (Online)
$ 3703 (Classroom)

AdaBoost Python for Machine Learning

2025-06-18 9:30 am
14 hours
HI, Honolulu - Waterfront
$ 2703 (Online)
$ 3303 (Classroom)

LightGBM for Machine Learning

2025-07-02 9:30 am
21 hours
HI, Kapolei - Waterfront
$ 4054 (Online)
$ 5554 (Classroom)

AdaBoost Python for Machine Learning

2025-07-16 9:30 am
14 hours
HI, Honolulu - Waterfront
$ 2703 (Online)
$ 3303 (Classroom)

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Ensemble Learning Consulting
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