Welcome
Welcome to the first-ever Carleton Artificial intelligence society Kaggle competition.
This is a competition for Carleton University students
to get experience in data science, machine learning and Kaggle competitions. We hope that you folks learn something out of this competition whether that be from our workshops or self-directed research that you've stumbled upon.
The Challenge
We are currently living in a historical moment in human history. COVID-19 has affected everyone in the world in a major way. Universities and workplaces have been forced to remote work. You can't go anywhere in public without a mask and are greeted with hand sanitizer when you enter an establishment. Most importantly, the health crisis has had around 29 million cases and 920,000 deaths. 

In this challenge, CAIS is asking you to build a predictive model that answers the following question:
"How many deaths ,recoveries and cases occur per a given date and province ?"
Real World Impact
Though this competition is just for fun as winners are eligible to win prizes, building predictive models can have a real-world impact. Here's a list of ways that predictive models for a global outbreak can make an impact.
Predictive modelling aids in public health planning and response.
A predictive model would help allocate medical resources and determine preventive measures more efficiently.
A predictive model could also educate the public and policymakers at all levels on their decision-making process.
A predictive model applied to different provinces  could help to gain an understanding of the evolution since factors may vary from one province/territory to another.
Prizes
Teams with the top 10 scores on the private leaderboard rank will move on to the next phase of the competition. The next phase of the competition will consist of teams presenting their winning solution to our panel. Our panel will be comprised of our sponsors and a few of our CAIS executives. After each presentation, the panel will give each team an individual score based on predefined criteria. When this phase of the competition is over, our panel will announce the top 3 teams based on their scoring.
Please note that the panel will determine the winners of the prize money. Thus those who may have the best scores do not necessarily mean that they automatically win the competition. Teams who ultimately impress the panel with their solution and their presentation win the competition.
The top 10 teams will be asked to publish a link to their open-sourced code on the competition forum. Also, teams are welcome to create a publicly available demo version of the model for more hands-on testing purposes.
All teams, regardless of place, are also strongly encouraged and invited to publish a manuscript of their solution (and open source their code, if willing).
Competition Timeline
Start Date: October 4th, 2020
[Checkout the workshops we're offering](https://www.kaggle.com/c/cais-x-t1-2021/overview/cais-workshops)
throughout the competition.
End Date (Final Submission Deadline): January 3, 2021, 11:59 pm EST
Top 10 Teams Announced: January 4,  2021, 8:00 am EST
Top 10 Teams presentations: Sunday, January 17, 2020 ( Time TBA ) EST
Submission Limits
You may submit a maximum of 5 entries per day.
You may select up to 2 final submissions for judging.