ML StudyJam: Time Series

This course focuses on the application of modern machine learning methods to time series data with the goal of producing the most accurate predictions.

Aug 12, 2023, 4:00 – 7:00 PM

115
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Key Themes

AIDataKaggleMachine LearningWomen Techmakers

About this event

Forecasting 📈 is perhaps the most common application of machine learning in the real world. Time series forecasting is a broad field with a long history. This course focuses on the application of modern machine learning methods to time series data with the goal of producing the most accurate predictions. The lessons in this course were inspired by winning solutions from past Kaggle forecasting competitions but will be applicable whenever accurate forecasts are a priority.

After finishing this course, you'll know how to:

  • Engineer features to model the major time series components (trends, seasons, and cycles),
  • Visualize time series with many kinds of time series plots,
  • Create forecasting hybrids that combine the strengths of complementary models, and
  • Adapt machine learning methods to a variety of forecasting tasks.

As part of the exercises, you'll get a chance to participate in our Store Sales - Time Series Forecasting Getting Started competition. In this competition, you're tasked with forecasting sales for Corporación Favorita (a large Ecuadorian-based grocery retailer) in almost 1800 product categories.

To check the learning material in advance, check Kaggle's microcourse 👇 :

https://www.kaggle.com/learn/time-series

Let's get started!

Prerequisites:

1. Have access to a Browser (preferably Google Chrome)

2. Sign up to Kaggle

3. Eager to Learn !!!

4.Have Completed the courses:

  • "Intro to Machine Learning"
  • "Intermediate Machine Learning"
  • "Intro to Deep Learning"


Speakers

  • Vannia Hnatiuk

    GDG Cloud Edmonton | WTM Ambassador

    Data Analyst

  • Devipriya Raju

    Vector Institute AI Scholarship Recipient

    ML Researcher with a focus in Medical Imaging(CV) and NLP

Host

  • Shaimaa Abbas

    Government of Alberta

    GDG organizer - WTM Ambassador - System Analyst -

Organizers

  • Xinli Cai

    Canadian Centre for Mapping and Earth Observation

    GDG Organizer

  • Rohan Saha

    Event & Technical

  • Vannia Hnatiuk

    GDG Cloud Edmonton

    GDG Organizer

  • Devipriya Raju

    University of Alberta

    Co-organiser

  • Ndidi Obinwanne

    Co - Organizer

  • Temitope Ajiboye

    Jesta IS

    Senior Flutter Developer

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