Imagine a bright future. A vaccine has been distributed. No more masks, no distancing. Instead, everyone can go out again. But many people will have forgotten where to eat and drink!
Hence, you feel motivated to leverage your skills and build an app to help them figure that out. There are four options: Visit a people's fair, a bar, just meet at the food stall across the street or visit a proper restaurant.
To make your app very simple, you decide to base your recommendation only on three parameters: How hungry the users are, how much booze they want to drink and how many friends are going out.
The Challenge
Of course, your recommendation shouldn't be entirely based on your personal preference. Therefore, you decide to gather some data. You can find the full data set here:
bahe007
/
ClassifierChallenge
A challenge to build a classifier that decides for you where to go out after a Corona vaccine has been distributed.
ClassifierChallenge
Learn everything about the challenge on dev.to.
You can find the dataset in the file TrainingData.csv above.
Happy Coding!
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You are welcomed to present your solutions on dev.to as a comment. That's also a great place to discuss your approaches and their strenghts or weaknesses.
Disclaimer
This challenge is based on an artificially generated dataset. However, that shouldn't prevent you from having fun! In fact, it's especially designed to be solvable and demonstrate some important concepts of data science.
Now, it's your task to develop a very accurate and robust classifier to fulfil this task.
You are free to use whatever language you like. Of course, you could use a framework, but it'd be more interesting to write a classifier entirely by yourself.
On whatever tools you decide, feel free to share you results here!
Happy coding! 👩💻🧑💻👨💻
Title image: Pixabay
Top comments (2)
I'm inclined to try this! Looks like an appropriate beginner's challenge... I just wonder... What is the "input" we give? A group size and how we want to drink and eat as percentage? How do we "use" this? Sorry for being a noob.
So we need to be able to predict based on training data and given the percentage and group size, where to go?
Yes, the group size is given as integer, however the scores for how much people want to eat/drink are not necessarily percentages. However, higher score means someone is hungrier/more thirsty.
Based on these three factors, you should predict where to go.
Feel free to ask follow-up questions if something isn't clear.