Predicting House Prices with Regression using TensorFlow

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In this Guided Project, you will:

Create, train, and evaluate a neural network in TensorFlow.

Solve regression problems with neural networks.

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

Deep LearningArtificial Neural NetworkMachine LearningTensorflowkeras

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Data normalization

  2. Train and Test split

  3. Create a neural network model

  4. Train the model to fit the dataset

  5. Evaluate the model

  6. Visualize the predictions

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

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Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.