200 Mary Street, Brisbane

Level 16, 200 Mary Street, Brisbane, Australia, 4000

The 200 Mary Street business centre is located only 125 metres from the Brisbane GPO, strategically located within Brisbane’s premier financial district known as ‘the Golden Triangle’. Situated on Level 16 and boasting views over the Brisbane River, hinterland and the CBD, the centre provides the ideal setting to showcase your business in a contemporary environment with fully-equipped work space. 200 Mary Street is immersed in Brisbane’s city life with everything at your doorstep, from key transport links to restaurants and bar as well as hotels. The centre is serviced by the City Cat service and Central Train Station, which is less than five minutes walk.

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 Brisbane (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 Brisbane (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 Brisbane (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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Provisional Upcoming Courses (Require 5+ participants)

AdaBoost Python for Machine Learning

2025-05-12 09:30
14 hours
200 Mary Street, Brisbane
7000 AUD (Online)
13860 AUD (Classroom)

AdaBoost Python for Machine Learning

2025-05-26 09:30
14 hours
200 Mary Street, Brisbane
7000 AUD (Online)
13860 AUD (Classroom)

Machine Learning with Random Forest

2025-06-09 09:30
14 hours
200 Mary Street, Brisbane
7000 AUD (Online)
13860 AUD (Classroom)

AdaBoost Python for Machine Learning

2025-06-23 09:30
14 hours
200 Mary Street, Brisbane
7000 AUD (Online)
13860 AUD (Classroom)

LightGBM for Machine Learning

2025-07-07 09:30
21 hours
200 Mary Street, Brisbane
10500 AUD (Online)
20790 AUD (Classroom)

LightGBM for Machine Learning

2025-07-21 09:30
21 hours
200 Mary Street, Brisbane
10500 AUD (Online)
20790 AUD (Classroom)

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Ensemble Learning Consulting
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