Predicting House Prices with Regression using TensorFlow
Create, train, and evaluate a neural network in TensorFlow.
Solve regression problems with neural networks.
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
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:
Data normalization
Train and Test split
Create a neural network model
Train the model to fit the dataset
Evaluate the model
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
TOP REVIEWS FROM PREDICTING HOUSE PRICES WITH REGRESSION USING TENSORFLOW
You should have some basic understanding of Linear Regression and Libraries being used to get complete use of this project. The instructor done a very good job in explaining the things he have done.
Sir is very good in what to deliver to the student in better manner.At the end of project able to know more about various libraries,function which is helpful in various projects related to CS,IT.
I am new to world of ML/AI and but have been polynomial regression models for over 2 years in my research. This course was just the right applied exposure I needed in ML regression.
Though Tensflow is a huge topic, this learn while doing methodology used is just right to get you going. I would recommend that everyone should try the course.
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