Local instructor-led live Random Forest training courses in 中国.
Random Forest Course Outlines
课程名称
课程时长
课程概览
课程名称
课程时长
课程概览
14小时
Random Forest is an algorithm for machine learning that is used mostly for classification and regression. It utilizes multiple decision trees to generate more precise and accurate predictions.
This instructor-led, live training (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.
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
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