Feature Engineering

[Allanvince]

Goal: Enhance predictive performance of time series analysis by implementing feature engineering techniques.

Techniques to Implement:

• 1. Rolling Window Statistics: Calculate moving averages, rolling sums, or rolling standard deviations over a specific time window.
• 2. Date/Time Features: Extract day of the week, hour of the day, month.

Purpose and Impact:

• Rolling Window Statistics provide insights into trend and variability, capturing temporal patterns in the traffic volume data.
• Date/Time Features capture seasonality and temporal patterns, enabling models to capture daily, weekly, and monthly variations.

[Rontim]

Checkout in your local repository

git fetch origin
git checkout 2-feature-engineering