Stop using Kaggle for your Data Science projects

Photo by Boitumelo Phetla on Unsplash

You’ve finished your data science bootcamp and want to show off your first projects. You’ve used Kaggle datasets but the interviewers aren’t impressed.

You say “But everyone uses Kaggle, so why shouldn’t I “?
The reason is that interviewers have seen too many projects based on Kaggle.

In fact, using Kaggle may actually prevent your projects from standing out above the rest. The interviewers just can’t see why you are different to the other 100s of job candidates all striving for that first machine learning position.

The answer is to have an approach which makes you, your portfolio and your project stand out as unique.

So how do you do this?

1. Find one of your authentic passions, or even a hobby.
   Everyone has something even if they don’t realize it. Something that you enjoy, or you daydream about. Stuck? Here’s a list from Wikipedia.
   https://en.wikipedia.org/wiki/List_of_hobbies
2. Think about the data science area/skill that is important to you. Maybe it’s an area in a set of jobs you are applying for… like NLP, Computer Vision or TimeSeries. Or perhaps you want to broaden your Data Science skills with other techniques.
3. Think about the data aspects of your…