Forecasting Time Series with Linear Regression: A Feature-Driven Approach

Curious about time series forecasting but not sure where to start?

Join us for a beginner-friendly workshop exploring how linear regression can be used for time series forecasting.

This talk explores the fundamentals of time series forecasting using linear regression models. We’ll cover how to transform time series data into a supervised learning format and utilize feature engineering techniques to model various components of the series, including trends, seasons, outliers, and structural breaks.

No prior time series experience is required—just a basic understanding of regression and a desire to learn.

🧠 What you’ll learn:

• How to frame time series as a regression problem
• Feature engineering techniques for time-aware data
• Modeling trend, seasonality, outliers, and breaks
• Practical tips for evaluation and validation

Whether you’re brushing up on regression or starting your forecasting journey, this workshop will provide hands-on insights in an accessible way.