Название: PYTHON: 2 Books in 1: Python Programming & Data Science. Master Data Analysis in Less than 7 Days and Discover the Secrets of Machine Learning with Step-by-Step Exercises
Автор: Callaway J.
Издательство: Amaxon
Год: 2020
Формат: pdf
Страниц: 186
Размер: 28 mb
Язык: английский

Well, you don’t need to be proficient in Python to conduct data analysis in Python. All you need to do is to master five Python libraries to effectively find a solution to a wide array of data analysis problems. So, you need to start learning these libraries one by one. Remember that you don’t have to be a pro at building great software in Python to productively conduct data analysis.
Before you proceed further, make sure that you set up your programming environment and learn the way to work with Ipython notebook.

BOOK 1: Python Programming
Introduction
What is the Python Language, and Why Should I Use It?
How Can I Install Python on My Computer?
The Basics of the Python Code
The Different Data Types in Python
The Python Functions
The Python Classes and How to Write Your Own
Handling Files in Python
Tips and Tricks to Get the Most Out of Python
A Quick Introduction to Data Analysis
Some of the Best Python Algorithms for Data Analysis
BOOK 2: Python for Data Science
Introduction to Data Analysis
Python Review
Array Concatenation
Getting Started with Pandas
Importing Data
Missing Data
Visualize the Data
Transformation of Feature
Definition of Data Frame
Split-Apply-Combine
Implementation
How to Group Data Frames?
Data Visualization
Machine Learning
Artificial Neural Networks
How to use Scikit-Learn
K-Nearest Neighbors Algorithm
Classification
Association Rule Learning
Reinforcement Learning
Conclusion