Predicting House Prices with Regression using TensorFlow

Learners: 29

Instructor: Amit Yadav

Duration:

Learn how to predict house prices with regression using TensorFlow and gain the confidence to apply your new skills to real-world problems with this online course, backed by a promise of success and proven results. ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Paid

Provider:

Coursera

Certificate:

Paid Certification

Language:

English

Start Date:

10th Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 31st, 2023]

What does this course tell?
(Please note that the following overview content is from Alison)
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

We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
By taking this course, learners will acquire the skills and knowledge to use Keras with TensorFlow as its backend to solve a basic regression problem. They will learn how to create, train, and evaluate a neural network model that can accurately predict house prices. Additionally, learners will gain an understanding of the best practices for using Keras and TensorFlow in the North America region.
lHow does this course contribute to professional growth?
This course contributes to professional growth by teaching learners the basics of using Keras with TensorFlow as its backend and how to use it to solve a basic regression problem. By the end of the course, learners will have created, trained, and evaluated a neural network model that can accurately predict house prices. This course is best suited for learners based in the North America region, but the same experience is being worked on for other regions.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. It provides learners with the basics of using Keras with TensorFlow as its backend and teaches them to use it to solve a basic regression problem. By the end of the project, learners will have created, trained, and evaluated a neural network model that can predict house prices with a high degree of accuracy. This course works best for learners who are based in the North America region, but the same experience is being worked on for other regions.