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Course Outline
Introduction to LightGBM
- Overview of LightGBM
- Benefits of Using LightGBM
- Comparison with Other Machine Learning Frameworks
- Key Features and Architecture of LightGBM
Understanding Decision Tree Algorithms for Government
- The Lifecycle of a Decision Tree Algorithm
- Integration of Decision Tree Algorithms in Machine Learning for Government
- Mechanisms and Operations of Decision Tree Algorithms
Getting Started with LightGBM for Government
- Setting Up the Development Environment for Government Use
- Installing LightGBM as a Stand-alone Application for Government
- Installing LightGBM in Container Environments (Docker, Podman, etc.) for Government
- On-premise Installation of LightGBM for Government
- Cloud Installation of LightGBM (Private, AWS, etc.) for Government
- Basic Usage of LightGBM for Classification and Regression in Government Applications
Advanced Techniques in LightGBM for Government
- Feature Engineering with LightGBM for Government Projects
- Hyperparameter Tuning with LightGBM for Enhanced Performance in Government
- Model Interpretation with LightGBM for Transparent and Accountable Decision-Making in Government
Integrating LightGBM with Other Technologies for Government
- Using LightGBM with Python for Government Applications
- Utilizing LightGBM with R for Government Data Analysis
- Implementing LightGBM with SQL for Government Databases
Deploying LightGBM Models in Government Environments
- Exporting LightGBM Models for Government Use
- Employing LightGBM in Production Environments for Government Operations
- Common Deployment Scenarios for Government Projects
Troubleshooting LightGBM for Government
- Identifying and Resolving Common Issues with LightGBM in Government Applications
- Debugging LightGBM Models in Government Settings
- Monitoring LightGBM Models in Production for Government
Summary and Next Steps for Government Use of LightGBM
- Recap of LightGBM Basics and Advanced Techniques for Government
- Q&A Session on Government Applications of LightGBM
- Next Steps for Implementing LightGBM in Real-World Government Scenarios
Requirements
- An understanding of Python programming for government applications
- Experience with machine learning methodologies
- Basic knowledge of decision tree algorithms
Audience
- Developers working in the public sector
- Data scientists for government agencies
21 Hours