LightGBM for Machine Learning Training Course

Introduction to LightGBM

• What is LightGBM?
• Why use 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 fit in with machine learning
• How decision tree algorithms work

Getting Started with LightGBM

• Setting up the Development Environment
• Installing LightGBM as a stand-alone application
• Installing LightGBM as a container (Docker, Podman, etc.)
• Installing LightGBM on-premise
• Installing LightGBM in the cloud (private, AWS, etc.)
• Basic usage of LightGBM for classification and regression

Advanced Techniques in LightGBM

• Feature Engineering with LightGBM
• Hyperparameter Tuning with LightGBM
• Model Interpretation with LightGBM

Integrating LightGBM with Other Technologies

• LightGBM with Python
• LightGBM with R
• LightGBM with SQL

Deploying LightGBM Models

• Exporting LightGBM models
• Using 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 using LightGBM in real-world scenarios