Bandwidth Demand Forecasting

Project Overview

This project focuses on implementing time-series analysis using Prophet to forecast bandwidth demand. We'll learn how to analyze seasonal patterns, trends, and create accurate predictions for network capacity planning.

Key Learning Objectives

• Understanding time-series components (trend, seasonality, holidays)
• Implementing Facebook Prophet for forecasting
• Handling multiple seasonality patterns
• Creating confidence intervals for predictions
• Evaluating time-series models

Technologies Used

• Python
• Facebook Prophet
• pandas for time-series data manipulation
• matplotlib for visualization
• numpy for numerical computing

Additional Resources

For detailed implementation guide, code examples, and step-by-step instructions, please visit the GitHub Project Repository.