Skip to content

Details

You will learn about:

  • Strategies to master seasonality
  • Prophet model usage
  • Analyze seasonal data and performance

More about the event
In this talk, we will explore advanced strategies for mastering seasonality in time-series forecasting. We will delve into practical tips for using the Prophet model, discuss key factors to consider in time-series forecasting, and demonstrate how to analyze seasonally adjusted performance. Join us to enhance your forecasting skills and gain deeper insights into managing seasonal trends effectively.

Our speaker
Angelina is a data scientist at Meta, where she leads key forecasting projects. With a passion for leveraging data science to solve complex business problems, she brings 5 years of experience in data science and analytics to her role. Angelina is also pursuing a master's degree part-time at Stanford University.

Machine Learning
Big Data
Data Analytics
Predictive Analytics
Computer Programming

Members are also interested in