Python Artificial Intelligence Projects for Beginners

Build smart applications by implementing real-world artificial intelligence projects

Key Features:

- Explore a variety of AI projects with Python

- Get well-versed with different types of neural networks and popular deep learning algorithms

- Leverage popular Python deep learning libraries for your AI projects

Book Description:

Artificial Intelligence (AI) is the newest technology that's being employed among varied businesses; industries; and sectors. Python Artificial Intelligence Projects for Beginners demonstrates AI projects in Python; covering modern techniques that make up the world of Artificial Intelligence.

This book begins with helping you to build your first prediction model using the popular Python library; scikit-learn. You will understand how to build a classifier using an effective machine learning technique; random forest; and decision trees. With exciting projects on predicting bird species; analyzing student performance data; song genre identification; and spam detection; you will learn the fundamentals and various algorithms and techniques that foster the development of these smart applications. In the concluding chapters; you will also understand deep learning and neural network mechanisms through these projects with the help of the Keras library.

By the end of this book; you will be confident in building your own AI projects with Python and be ready to take on more advanced projects as you progress

What You Will Learn:

- Build a prediction model using decision trees and random forest

- Use neural networks; decision trees; and random forests for classification

- Detect YouTube comment spam with a bag-of-words and random forests

- Identify handwritten mathematical symbols with convolutional neural networks

- Revise the bird species identifier to use images

- Learn to detect positive and negative sentiment in user reviews

Who this book is for:

Python Artificial Intelligence Projects for Beginners is for Python developers who want to take their first step into the world of Artificial Intelligence using easy-to-follow projects. Basic working knowledge of Python programming is expected so that you're able to play around with code

Table of Contents

- Building Your Own Prediction Models

- Prediction with Random Forests

- Application for comment classification

- Neural Networks

- Deep Learning