How I chose my first Kaggle competition to enter and what I learned from doing it.

A little background

I find starting out in a new area of programming a somewhat daunting experience. I have been programming for the past 8 years, but only recently have developed a keen interest in Data Science. I want to share my experience to encourage you to take the plunge too!

I started out dipping my toe in the ocean of this vast topic with a couple of the Kaggle mini-courses. I didn’t need to learn how to write in Python, but I needed to equip myself with the tools to do the programming that I wanted. First up was Intro to Machine Learning — it seemed like a good place to start. As part of this course you contribute to an in course competition, but even after completing it, I didn’t feel prepared to do a public competition. Cue Intermediate Machine Learning, where I learned to use a new model and how to think deeper about a data problem.

#2020 sep tutorials # overviews #competition #data science #kaggle