A Complete Data Science Portfolio Project

A Complete Data Science Portfolio Project

An overview of my latest, end-to-end data science project. In this article, I would like to showcase what might be my simplest data science project ever.

In this article, I would like to showcase what might be my simplest data science project ever.

I have spent hours training a much more complex models in the past, and struggled to find the right parameters to create machine learning pipelines.

Despite its simplicity, if I could only display one project on my resume, it would be this one.

Let me explain why.

Does the package determine the value of the gift?

As a child, I would always get excited about holidays because I could get gifts. (_Just humour me here, I do have a point, I promise). _My aunt presented me with this beautiful dress, perhaps more beautiful than any other gift I received that day.

Here’s the thing though — I didn’t even want to open it. She had shabbily wrapped it with newspaper, and the gift seemed to have lost half its value before I even saw what was inside.

To answer the question above, no. The package by no means determines the value of the gift.

However, it can greatly influence your expectation of what’s inside and can change the way you perceive it.

The machine learning models you spend weeks training are great. Demonstrate that. Don’t let them die in your Jupyter Notebook.

Recruiters have hundreds of resumes to read. It is almost impossible for them to read through all your code on GitHub and understand all your projects.

To stand out, you need to do something slightly different. Create an interface they can interact with. Maybe a live dashboard they can play around with.

Even if it's not the best dashboard or interface out there, it will create interest, because you created something they can actually use.

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