Python: 2 books in 1: Python For Beginners + Python Programming . Master the machine language Data Science Analysis and Artificial intelligence. Exercises included!

✍ Scribed by Marc Matthes

• Tongue: English
• Leaves: 141
• Category: Library

✦ Table of Contents

Introduction
Chapter 1: The Benefits of Working with the Python Language
Chapter 2: Installing and Working with Python on Different Operating Systems
Chapter 3: Some of the Basic Parts of the Python Code
Chapter 4: How to Work Classes and Objects
Chapter 5: Creating your Own Inheritance
Chapter 6: Creating a Loop in Python
Chapter 7: Working with the Conditional Statements
Chapter 8: Exception Handling in the Python Language
Chapter 9: Data Analysis with Python
Chapter 10: Can I Test my Code?
Chapter 11: Python and Artificial Intelligence
Chapter 12: Python and Machine Learning
Chapter 13: Practical Codes and Exercises to Use Python
Conclusion
Introduction
Chapter 1: What is Deep Learning and Artificial Intelligence
Chapter 2: A Look at Machine Learning
Chapter 3: An Introduction to Python
Chapter 4: The Scikit-Learn Library
Chapter 5: Creating a Neural Network with Scikit-Learn
Chapter 6: The TensorFlow Library
Chapter 7: K-Nearest Neighbors and K-Means Clustering
Chapter 8: Decision Trees and Random Forests in Machine Learning
Chapter 9: The Linear Classifier and What This Means
Chapter 10: Are Recurrent Neural Networks Different From Neural Networks
Chapter 11: What Else Can I Do with Python Programming and Machine Learning?
Conclusion