In front of you is an exciting data challenge with Iron Match, the ultimate dating app designed to create strong and lasting connections. Today, you'll be diving into real data from Iron Match, applying your data scientist skills to solve a business problem. This is a fantastic opportunity to showcase your ability to implement a complete machine learning system from start to finish.
We encourage you to use the latest version of Python and its associated libraries for this challenge. However, any recent version is accepted, so use what you are most comfortable with. The sections provided in this notebook are here to guide you through the expected steps, but don't feel constrained by them. Feel free to add new sections or skip those you deem unnecessary.
We expect you to complete this assignment in about 3 hours. This is not a strict deadline; the goal is not to develop the best machine learning model ever but to see how you approach and implement the steps of a machine learning system.
- Fork this repo
- Clone this repo
- Follow the instructions given in the
business-case-challenge-iron-match.ipynbnotebook. - Don't forget - the dataset is provided in the "data" folder in this repo.
business-case-challenge-iron-match.ipynbwith solutions.
Upon completion, add your deliverables to git. Then commit git and push your branch to the remote. Finally, create a Pull Request and paste the link to it to the Submission field in Student Portal.
Good luck, and have fun! We can't wait to see your innovative solutions and how you bring data to life with Iron Match.