Artificial Intelligence (AI) is the newest emerging and disruptive technology among varied businesses, industries, and sectors. This book demonstrates AI projects in Python, covering modern techniques that make up the world of AI. This book begins with building your first prediction model using the popular Python library, scikit-learn. You will understand how to build a classifier using effective machine learning techniques: 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 such smart applications. You will also understand deep learning and the neural network mechanism through these projects with the use of the Keras library. By the end of this book, you will be confident to build your own AI projects with Pythonand be ready to take on more advanced content as you go ahead.
Python Global, Local and Nonlocal variables
Python Program to Find the Factors of a Number
Deep Learning with PyTorch - Vishnu Subramanian
An introduction to neural networks - Kevin Gurney & University of Sheffield
Python Data Structures and Algorithms - Benjamin Baka
Python Dictionary setdefault()
Python List remove()