Python Artificial Intelligence Projects will help you to build smart and practical AI-based systems leveraging deep learning and reinforcement learning. The projects illustrated in this book cover a wide range of domain problems related to healthcare, e-commerce, expert systems, surveillance fashion industry, mobile-based applications, and self-driving cars using techniques such as convolutional neural networks, deep reinforcement learning, LSTM-based RNNs, restricted Boltzmann machines, generative adversarial networks, machine translation, and transfer learning. The theoretical aspects of building the intelligent applications illustrated in this book will enable the reader to extend the projects in interesting ways and get them up to speed in building impactful AI applications. By the end of this book, you will be skilled enough to build your own smart models to tackle any kind of problem without any hassle.
Intelligent Projects Using Python – Santanu Pattanayak
Python String istitle()
Python *args and **kwargs
Python Set symmetric_difference()
Python round()
Python Program to Multiply Two Matrices
Python timestamp to datetime and vice-versa
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Python Program to Find the Factors of a Number
Python delattr()
Python Program to Convert Kilometers to Miles
Python help()
Python 3 for Absolute Beginners - Tim Hall & J.P Stacey
Node.js vs Python for Backend Development
Python zip()
Python type()
Python List
Python Type Conversion and Type Casting
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Python max()
Python Program to Find the Factorial of a Number
Python callable()
Python issubclass()
Python Program to Check Prime Number
Python Set remove()
Python Program to Copy a File
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Data Types
Python List append()
Python List pop()
Python List extend()
Python String translate()
Python time Module
