Diamonds Pricing Predictions

Considering various diamond traits, this project weighs down the influence of each feature on predicting the prices for the diamonds and helps in understanding underlying trends in jewelry industry.

Client

Diamond Jewelry Company

Services

Data Analysis Feature Engineering Prediction Models

Industries

Jewelry

Date

2024

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The diamonds dataset from Tensorflow Datasets is used, containing over 50,000 diamonds with features including: - Carat - Cut - Color - Clarity - Depth - Table - Price Key findings: - Carat has the highest correlation to price - Diamonds with ideal cuts tend to be larger in size - There is a linear relationship between carat and price - Color distribution skews towards yellow tints

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Extracted currency modules
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Link: https://github.com/singhsneha99/Diamond-Price-Prediction

I welcome opportunities to collaborate with others in the dynamic intersection of technology and finance. As I document my own journey of learning and growth, follow my progress and let's connect if you see a potential way we can help empower one another's goals or enact positive change together. I believe progress accelerates when we share knowledge across diverse perspectives.