Predicting House Prices with Regression using TensorFlow

Overview

Class Central Tips

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.

Syllabus

TensorFlow Beginner: Predicting House Prices with Regression

Welcome to this project-based course on Predicting House Prices with Regression using Keras and TensorFlow. In this project, 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. Our approach will be using a neural network to solve this problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to accurately predict price of a house if provided with some information like the age of the house, geographical location and so on.