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 standalone application.
• Installing LightGBM as a container (Docker, Podman, etc.).
• Installing LightGBM on-premise.
• Installing LightGBM in the cloud (AWS, private clouds, 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.