Data Science: Advanced Regression

Finally! We're getting to the real meat of Data Science.

In this sprint we worked in teams of 5 people to build a more complex project than usual. Our goal was to predict the price per kilogram of some apples, based on various factors.

This was an excellent project to get us acquainted with the API of Scikit-Learn and to really flex some of the skills we've been working so hard to acquire.

We worked with a lot of new Python libraries and gained massive insights into the whole Data Science Lifecycle.

We finally hosted our model on an Amazon EC2 instance, to make a public facing API available.

At the end of the sprint we had to present our models and findings to various stakeholders and explain our approach as well as some technical details of the things we'd learned.