Tutorials

Welcome to the TurboGuard tutorials! This section will guide you through everything you need to know to get started with TurboGuard, from installation to building your first predictive maintenance model.

• 1. Installation
  • 1.1. System Requirements
  • 1.2. Installation Methods
  • 1.3. Required Dependencies
  • 1.4. GPU Support (Optional)
  • 1.5. Verify Installation
  • 1.6. Common Installation Issues
  • 1.7. Next Steps
  • 1.8. Need Help?
• 2. Quick Start
  • 2.1. 🚀 Launch in 3 Steps
  • 2.2. Dashboard Overview
  • 2.3. First Exploration
  • 2.4. Quick Data Analysis
  • 2.5. Interactive Dashboard Features
  • 2.6. Sample Results
  • 2.7. Troubleshooting
  • 2.8. Next Steps
  • 2.9. Tips for Success
• 3. Your First Model
  • 3.1. 🎯 What You’ll Build
  • 3.2. Step 1: Data Preparation
  • 3.3. Step 2: Build LSTM AutoEncoder
  • 3.4. Step 3: Train the AutoEncoder
  • 3.5. Step 4: Anomaly Detection
  • 3.6. Step 5: Build Forecasting LSTM
  • 3.7. Step 6: Model Evaluation
  • 3.8. Step 7: Save Your Models
  • 3.9. Step 8: Test Model Loading
  • 3.10. Step 9: Visualization Dashboard
  • 3.11. Congratulations! 🎉
  • 3.12. Key Takeaways
  • 3.13. Next Steps
  • 3.14. Troubleshooting
  • 3.15. Resources

What You’ll Learn

📚 Installation: Set up TurboGuard on your system with all dependencies

🚀 Quick Start: Get TurboGuard running in minutes with our streamlined setup

🤖 First Model: Build and train your first LSTM AutoEncoder for anomaly detection

Prerequisites

Before starting these tutorials, you should have:

• Basic knowledge of Python programming

• Familiarity with machine learning concepts

• Understanding of time series data (helpful but not required)

• Python 3.8+ installed on your system

Tutorial Path

We recommend following the tutorials in order:

1. Installation - Get TurboGuard installed and verify your setup

2. Quick Start - Launch the dashboard and explore the interface

3. First Model - Train your first anomaly detection model

Each tutorial builds on the previous one, so completing them in sequence will give you the most comprehensive understanding of TurboGuard.

Getting Help

If you encounter any issues while following these tutorials:

• Check the troubleshooting sections in each tutorial

• Visit our GitHub Issues

Let’s get started! 🎯