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 Artificial Intelligence Project for Beginners – Joshua Eckroth
Python String center()
Python Program to Create a Countdown Timer
Python Program to Find the Factors of a Number
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Python Program to Safely Create a Nested Directory
Python Program to Trim Whitespace From a String
Python eval()
Python Type Conversion and Type Casting
Python String isalnum()
Python Dictionary update()
Python Data Structures and Algorithms - Benjamin Baka
Python String swapcase()
Python RegEx
Python Directory and Files Management
Python String zfill()
Python Program to Generate a Random Number
Python Program to Swap Two Variables
Python Program to Copy a File
Python Program to Make a Flattened List from Nested List
Machine Learning with Python for everyone - Mark E.Fenner
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Python dir()
Python Program to Transpose a Matrix
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Python timestamp to datetime and vice-versa
Python set()
Python Tuple count()
Python object()
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Python Set isdisjoint()
Python String isprintable()
