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Project: Predicting House Prices with Regression using TensorFlow

Project: Predicting House Prices with Regression using TensorFlow

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9.3/10 (Our Score)
Product is rated as #9 in category Machine Learning

In this 2–hour long project–based course, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic regression problem. By the end of this project, you will have created, trained, and evaluated a neural network model that, after the training, will be able to predict house prices with a high degree of accuracy. Notes: – This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions. Rhyme is Coursera’s hands–on project–based learning platform. On Rhyme, learners get instant access to pre–configured cloud desktops containing all the software and data they need. Rhyme helps learners apply the knowledge they learned in other Coursera courses into specific tools and use–cases. So they become fully prepared to solve problems in the real–world!

Instructor Details

Amit is a Machine Learning Engineer with focus in creating deep learning based computer vision and signal processing products. He has led chat bot development at a large corporation in the past. Amit is one of the Machine Learning and Data Science instructors at Rhyme.

Specification: Project: Predicting House Prices with Regression using TensorFlow

Duration

4 hours

Year

2020

Level

Beginner

Certificate

Yes

Quizzes

Yes

1 review for Project: Predicting House Prices with Regression using TensorFlow

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  1. Yingying B

    Great project

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    Project: Predicting House Prices with Regression using TensorFlow
    Project: Predicting House Prices with Regression using TensorFlow

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