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- Level Beginner
- Duration 2 hours
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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.Auto Summary
Embark on a practical journey into the world of Data Science and AI with the "Predicting House Prices with Regression using TensorFlow" course. Designed specifically for beginners, this engaging 2-hour project-based course introduces you to the fundamentals of using Keras and TensorFlow to tackle a real-world regression problem. Under the expert guidance of Coursera, you will learn to create, train, and evaluate a neural network model capable of predicting house prices with impressive accuracy. This foundational course is ideal for learners in the North America region and is part of Coursera's Starter subscription plan. Dive into this hands-on experience and enhance your skills in data science and neural networks, setting a solid base for more advanced explorations in AI. Whether you are a budding data scientist or an AI enthusiast, this course offers a concise and impactful learning experience to advance your understanding and practical application of regression techniques using TensorFlow.