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Te Pou Toetoe Linwood

141 Smith Street, Linwood, Christchurch, New Zealand

Te Pou Toetoe Linwood Pool is a well-equipped, accessible venue ideal for hosting training courses, workshops, and education places the facility provides a convenient and professional environment for both instructors and participants. The venue offers easy access for attendees, with on-site parking available directly outside the main entrance, ensuring smooth arrival for course groups and equipment transport. For those travelling by public transport, the facility is serviced by multiple bus routes, including 80, 155, and the Orbiter, with nearby stops providing straightforward connections from across Christchurch. With its modern amenities, accessible layout, and convenient transport links, Te Pou Toetoe Linwood Pool is an excellent choice for delivering practical, engaging, and well-supported training sessions.

Subcategories (2)

Random Forest

Random Forest
AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours

This instructor-led, live training in Christchurch (available online or onsite) is designed for beginner to intermediate-level developers and data scientists who wish to master the fundamentals of LightGBM and explore advanced techniques.

By the conclusion of this training, participants will be able to:

  • Install and configure LightGBM.
  • Grasp the theoretical foundations of gradient boosting and decision tree algorithms.
  • Apply LightGBM to both 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.
  • Diagnose and resolve common issues encountered in LightGBM.
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AdaBoost Python for Machine Learning

 14 Hours

This instructor-led, live training in Christchurch (online or on-site) is designed for data scientists and software engineers who wish to use AdaBoost to develop 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 begin building machine learning models with AdaBoost.
  • Understand the ensemble learning approach and how to implement adaptive boosting.
  • Learn how to build AdaBoost models to enhance machine learning algorithms in Python.
  • Apply hyperparameter tuning to improve the accuracy and performance of AdaBoost models.
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Machine Learning with Random Forest

 14 Hours

This instructor-led, live training in Christchurch (online or on-site) is designed for data scientists and software engineers who wish to harness Random Forest to build machine learning models for large-scale datasets.

By the end of this training, participants will be able to:

  • Set up the required development environment to begin building machine learning models using Random Forest.
  • Understand the benefits of Random Forest and how to apply it to solve classification and regression problems.
  • Learn how to manage large datasets and interpret the output of multiple decision trees within the Random Forest framework.
  • Evaluate and optimise machine learning model performance through hyperparameter tuning.
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Last Updated:

Provisional Upcoming Courses (Require 5+ participants)

LightGBM for Machine Learning

2026-06-18 09:30
21 hours
Te Pou Toetoe Linwood
8160 NZD (Online)
8160 NZD (Classroom)

Machine Learning with Random Forest

2026-07-02 09:30
14 hours
Te Pou Toetoe Linwood
7460 NZD (Online)
7460 NZD (Classroom)

AdaBoost Python for Machine Learning

2026-07-16 09:30
14 hours
Te Pou Toetoe Linwood
7460 NZD (Online)
7460 NZD (Classroom)

AdaBoost Python for Machine Learning

2026-07-30 09:30
14 hours
Te Pou Toetoe Linwood
7460 NZD (Online)
7460 NZD (Classroom)

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Ensemble Learning Consulting
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