Digital 01 Building

No. 12, Guanghua Road, Chaoyang District, Beijing, China, 100000

Between the China International Trade Center and the Kerry Centre, it is backed by the International Trade Center and is across the street from Kerry Apartments, with a total construction area of 32,000 square meters. Peripheral package Shopping mall: Beijing Guomao Mall flagship store, Wanda New World Mall, Guiyou Shopping Mall Bank: Guangfa Bank International Trade Branch, Huaxia Bank Jingguang Sub-branch, Industrial Bank Guanghua Road Sub-branch, Huaxia Bank Guanghua Sub-branch, CITIC Bank Wealth Center Branch Hotel: Liandu Business Hotel, Home Inn, Jianguo Hotel, Wanda Sofitel Hotel, Jinglun Hotel, Beijing Bohao Ruiting Hotel, Beijing Kerry Hotel, Millennium Hotel Catering: Grandma's Kitchen, Xiaowangfu, Ganges Indian Restaurant, Shijiao Guoguomen Restaurant, etc.

Subcategories (2)

Random Forest

Random Forest
AdaBoost

AdaBoost

Explore Our Courses

LightGBM for Machine Learning

 21 Hours
This instructor-led, live training in Beijing Chaoyang (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 Beijing Chaoyang (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 Beijing Chaoyang (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

2025-05-27 09:30
21 hours
Digital 01 Building

AdaBoost Python for Machine Learning

2025-06-10 09:30
14 hours
Digital 01 Building

LightGBM for Machine Learning

2025-06-24 09:30
21 hours
Digital 01 Building

AdaBoost Python for Machine Learning

2025-07-08 09:30
14 hours
Digital 01 Building

Machine Learning with Random Forest

2025-07-22 09:30
14 hours
Digital 01 Building

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