ML Study Jam: Intro to Machine Learning

GDG Cloud Edmonton

We'll start with an overview of how machine learning models work and how they are used. This may feel basic if you've done statistical modeling or machine learning before. Don't worry, we will progress to building powerful models soon.

May 6, 2023, 7:00 โ€“ 10:00 PM

160 RSVP'd

Key Themes

Machine Learning

About this event

ML Study Jam is a collective learning program helping community members to grow as ML practitioners. The idea is to go through basic ML concepts and share the knowledge in a community. By honing skills and enhancing capabilities, a beginner can start oneโ€™s journey to becoming an ML expert. ๐Ÿค– ๐Ÿš€

This track is a study program going through Kaggle Learn courses. The goal of these assignments is to cover the most essential skills rapidly. Such as how to use TensorFlow or Pandas and how to build your first Machine Learning model and participate in your first competition ๐Ÿ‘ ๐ŸŽ‰  

Kaggle is the worldโ€™s largest data science and machine learning community. It offers a no-setup, customizable Jupyter Notebooks environment, access to free GPUs, and a huge repository of community-published data & code.

"Intro to Machine Learning" is the first session of a series of 5 sessions :

  1. Intro to Machine Learning
  2. Intermediate Machine Learning
  3. Intro to Deep Learning
  4. Time Series 
  5. NLP ( Bonus session )

In this first session, we are going to cover the content based on Kaggle's micro-course "Intro to Machine Learning":

  1. How Models Work
  2. Basic Data Exploration
  3. Your First Machine Learning Model
  4. Model Validation
  5. Underfitting and Overfitting 
  6. Random Forest
  7. Machine Learning Competitions 

For more details, you can check it out below ๐Ÿ‘‡

https://www.kaggle.com/learn/intro-to-machine-learning



Requisites: 

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

2. Sign up to Kaggle 

3. Eager to Learn !!! 

4. Have Completed the ๐Ÿผ Pandas microcourse 

Speaker

  • Rohan Saha

    University of Alberta

    PhD in computer science

Host

  • Vannia Hnatiuk

    GDG Cloud Edmonton | WTM Ambassador

    Data 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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