LightGBM for Machine Learning Training Course

Introduction to LightGBM

• What is LightGBM?
• Why choose LightGBM?
• Comparison with other machine learning frameworks.
• Overview of LightGBM features and architecture.

Understanding Decision Tree Algorithms

• The lifecycle of a decision tree algorithm.
• How decision tree algorithms integrate with machine learning.
• How decision tree algorithms function.

Getting Started with LightGBM

• Setting up the development environment.
• Installing LightGBM as a stand-alone application.
• Installing LightGBM as a container (Docker, Podman, etc.).
• On-premise installation of LightGBM.
• Cloud-based installation of LightGBM (private cloud, AWS, etc.).
• Basic usage of LightGBM for classification and regression tasks.

Advanced Techniques in LightGBM

• Feature engineering with LightGBM.
• Hyperparameter tuning with LightGBM.
• Model interpretation using LightGBM.

Integrating LightGBM with Other Technologies

• Using LightGBM with Python.
• Using LightGBM with R.
• Using LightGBM with SQL.

Deploying LightGBM Models

• Exporting LightGBM models.
• Utilizing LightGBM in production environments.
• Common deployment scenarios.

Troubleshooting LightGBM

• Common issues with LightGBM and how to resolve them.
• Debugging LightGBM models.
• Monitoring LightGBM models in production.

Summary and Next Steps

• Review of LightGBM basics and advanced techniques.
• Q&A session.
• Next steps for applying LightGBM in real-world scenarios.