Deep Learning for Real Estate Price Prediction
In this hands-on guided project, we will predict real estate prices with deep learning. In this project, we will predict home sale prices in King County in the U.S. between May, 2014 and May, 2015 using several features such as number of bedrooms, bathrooms, view, and square footage. This guided project is practical and directly applicable to the real estate industry. You can add this project to your portfolio of projects which is essential for your next job interview.
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- Level Foundation
- المدة 2 ساعات hours
- الطبع بواسطة Coursera
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Offered by
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In this hands-on guided project, we will predict real estate prices with deep learning. In this project, we will predict home sale prices in King County in the U.S. between May, 2014 and May, 2015 using several features such as number of bedrooms, bathrooms, view, and square footage. This guided project is practical and directly applicable to the real estate industry. You can add this project to your portfolio of projects which is essential for your next job interview.الوحدات
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Assignment
- Assess Your Knowledge
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Labs
- Deep Learning for Real Estate Price Prediction
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- Project Overview
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Deep Learning for Real Estate Price Prediction is a foundational course in IT & Computer Science offered by Coursera. This 120-minute hands-on guided project focuses on predicting home sale prices in King County, U.S., using deep learning techniques. Ideal for beginners, the course covers features like bedrooms, bathrooms, view, and square footage, making it practical for the real estate industry. Enhance your portfolio with this project, essential for job interviews. Available with a Starter subscription.
Ryan Ahmed