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#### Overview of this book

Welcome to the Robot World … and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.
Preface
Free Chapter
Welcome to the Robot World
Python Fundamentals – Learn How to Code in Python
AI Foundation Techniques
Your First AI Model – Beware the Bandits!
AI for Sales and Advertising – Sell like the Wolf of AI Street
Welcome to Q-Learning
AI for Logistics – Robots in a Warehouse
Going Pro with Artificial Brains – Deep Q-Learning
AI for Autonomous Vehicles – Build a Self-Driving Car
AI for Business – Minimize Costs with Deep Q-Learning
Deep Convolutional Q-Learning
AI for Games – Become the Master at Snake
Recap and Conclusion
Other Books You May Enjoy
Index

# Predicting house prices

What we want to do is predict how much a certain house might cost, based on some variables. In order to do so you need to follow these four steps:

1. Get some historical data on house sales; for this example, you'll use a dataset of about 20,000 houses in Seattle.
2. Import this data to your code while applying some scaling to your variables (I'll explain scaling to you as we go).
3. Build an Artificial Neural Network using any library—you'll use Keras, as it is simple and reliable.
4. Train your ANN and get the results.

Now that you know the structure of your future code, you can start writing it. Since all the libraries that you'll use are available in Google Colab, you can easily use it to perform this task.