Par šo e-grāmatu
Python for Beginners: A crash course to learn Python Programming in 1 Week
Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython
Python Machine Learning: A Step by Step Beginner’s Guide to Learn Machine Learning Using Python
Here's what you'll learn through this book:
Python for Beginners
In this book You will learn:
Getting started with the basics
Statements, Comments, Variables, Index
Data Types: Strings and Numbers
Data Types: List and Tuple
Data Types: Set and Dictionary
Operators
Functions
Loops
Python Practice Projects
and much more
Python for Data Analysis
In this book You will learn:
Data Science/Analysis and its applications
IPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist’s ecosystem.
Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started.
NumPy - a powerful numerical library for Python. You will learn more about its advantages.
Python Machine Learning
The Topics Covered Include:
Machine learning fundamentals
How to set up the development environment
How to use Python libraries and modules like Scikit-learn, TensorFlow, Matplotlib, and NumPy
How to explore data
How to solve regression and classification problems
Decision trees
k-means clustering
Feed-forward and recurrent neural networks
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