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

Hands-on session with Rami Krispin

Time Series
Forecasting
Hands-on
Beginner-friendly workshop led by author and open source contributor Rami Krispin, exploring time series forecasting through linear regression and feature engineering.
Published

July 3, 2025

Registered Attendees (125)

On July 03, 2025, R-Ladies Rome hosted a practical and beginner-friendly workshop titled “Forecasting Time Series with Linear Regression: A Feature-Driven Approach.” The session was led by Rami Krispin, author of Hands-On Time Series Analysis with R and an expert in time series forecasting at scale.

📊 Workshop Overview

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. This is a beginner-level workshop, and prior knowledge of time series is not needed beyond understanding how linear regression works.

🎥 Recording

🎬 Watch the Video Now

Whether you’re brushing up on regression or just getting started with time series, this session is packed with practical insight and real-world examples.

🧠 What You’ll Learn

  • How to frame time series as a supervised learning problem
  • Why feature engineering matters: trends, seasonality, outliers, and breaks
  • How to apply linear models to time-dependent data
  • Tips for model validation and performance assessment

📦 Resources & Materials

🔗 Slides & resources: https://github.com/RamiKrispin/r-ladies-rome-workshop

🌐 Learn more:

📝 R-Ladies Rome Intro Presentation: https://rladiesrome.quarto.pub/july032025

📅 Stay updated: https://www.meetup.com/rladies-rome

🔊 About the Speaker

Rami Krispin leads the data science and engineering team at Apple Finance - Services and Infra. His team builds advanced statistical and ML models to support Apple’s strategic decisions. Rami is also an open-source contributor and author, with a special focus on scalable forecasting tools. He’s currently working on his next book: Applied Time Series Analysis and Forecasting.

💬 Keep learning and sharing—subscribe to our YouTube channel and check out more past events on rladiesrome.org!

#TimeSeries #Forecasting #RStats #RLadiesRome #LearningTogether #RamiKrispin

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