Inspiration

I wanted to build my first machine learning project and submit it on GHW

What it does

The model that can predict diamond prices based on various factors such as carat weight, cut, color, clarity, and other relevant characteristics

How I built it

I followed online tutorials, used Github Copilot and followed some youtube tutorials to build the final version

Challenges I ran into

There were a lot of challenges I faced since it's my first project. The most difficult to solve for me where the import and environment errors I kept receiving every time I ran the project. But in the end it took a few simple tweeks to solve the errors.

Accomplishments that we're proud of

I'm proud of my first project.

What we learned

Learned about the nuances of conda environment and github

What's next for Diamond Price Prediction

I want to incorporate deep learning techniques in the future

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