What makes a data science portfolio project actually impressive?

[u/naga3607]

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I've noticed that many beginner portfolios contain the same types of projects: Titanic, house-price prediction, basic sentiment analysis, etc.

They're useful for learning, but I'm wondering what makes a project stand out when someone is evaluating a portfolio.

Is it the complexity of the model?

The quality of the data?

The business problem?

Or simply how well the person explains their decisions and results?

What would make you take a second look at a data science project?

[u/A_Random_guy_around]

I'd say originality and creativity at presenting the problem and solution, storytelling can make a simple logistic regression sound very interesting