Build an AI Web App for Diamond Price Prediction

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Course Features

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Duration

1 hour

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

1 hour

Course Description

Imagine the excitement of putting together an exclusive gift, a diamond ring, to commemorate the anniversary of a loved one's birthday. When you look through the choices, you're amazed by the variety of prices as well as the nitty-gritty aspects that affect the value of a diamond. Wouldn't it be wonderful to have a no-cost web-based application that can help you determine the value of these gems and ensures that the gift you give is worth the money? What would it be like if you could take your knowledge of creating machine learning models and develop a web-based application that could present your findings for the rest of humanity? We present Mercury The easy-to-use free software that can turn the contents of your Jupyter Notebooks into interactive web applications. Are you ready to showcase your work to the world in a more engaging way? This project isn't only about predicting the price of diamonds using machine learning. It's also about using Mercury to turn your predictions into enthralling web experiences.By the completion of this project, you'll be able to: This guided project requires a basic understanding about Python as well as database query. But don't fret even if you have no knowledge of the above. This project will walk you through every step of the process and you can learn along your way.IBM Skills Network Labs environment is also equipped with a variety of technical requirements that are pre-installed, allowing you to avoid the trouble of setting everything up, meaning you won't have to deal with any issues with the environment.

Course Overview

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Post Course Interactions

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Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Build and evaluate various machine learning models, interpreting metrics like MAE, MSE, and R-squared.

Explore and understand the concepts of correlation analysis and feature visualization.

Identify and choose the most effective model for making future diamond price predictions.

Master the data preprocessing pipeline, including feature selection, encoding, and handling outliers.

Use open-source framework, Mercury, to share the exciting outcomes from the Jupyter Notebook with a global audience through the web.

Course Instructors

Vicky Kuo

Data Scientist

I'm passionate about IT and truly believe that success isn't just about individual milestones, but also about uplifting and encouraging others to reach their potential.
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