Build an AI Web App for Diamond Price Prediction
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Build a powerful AI web app for predicting diamond prices. Learn how to integrate machine learning models with web applications to provide real-time pricing predictions for the diamond industry.
At a Glance
Imagine the excitement of planning a special gift—a diamond ring—to celebrate an anniversary or a loved one’s birthday. As you browse through options, you’re struck by the wide range of prices and the intricate details that determine a diamond’s value. Wouldn’t it be amazing to have a free web app that helps you understand and predict the price of these precious gems, ensuring that your gift is meaningful within your budget?
A Look at the Project Ahead
By the end of this project, you will be able to:
- Master the data preprocessing pipeline, including feature selection, encoding, and handling outliers.
- Explore and understand the concepts of correlation analysis and feature visualization.
- Build and evaluate various machine learning models, interpreting metrics like MAE, MSE, and R-squared.
- Identify and choose the most effective model for making future diamond price predictions.
- Use open-source framework, Mercury, to share the exciting outcomes from the Jupyter Notebook with a global audience through the web.
What You’ll Need
IBM Skills Network Labs environment also comes with many technical requisites pre-installed to save the hassle of setting everything up, so we won’t be dealing with any environment issues.
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