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 Program to Slice Lists
Python String translate()
Python Numbers, Type Conversion and Mathematics
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Python divmod()
Artificial Intelligence - A Very Short Introduction - Margaret A.Boden
Medical Image Segmentation Using Artificial Neural Networks
Python repr()
Python break and continue
Python Generators
Python Program to Capitalize the First Character of a String
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Python Program to Find the Largest Among Three Numbers
Python any()
Python Program to Find Hash of File
Python String isupper()
Python @property decorator
Python Program to Append to a File
Python Set union()
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Python Program to Convert Celsius To Fahrenheit
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Python getattr()
Python if...else Statement
Python enumerate()
Python __import__()
Python List clear()
Python Program to Get the File Name From the File Path
Python while Loop
Python String upper()
Python format()