Callaway J. Python for Data Science: Master Data Analysis from Scratch

Amazon.com Services LLC, 2020. — 134 p.Learning all the required skills to master data science and machine learning could certainly be challenging, but in this book, Jason Callaway has condensed all the knowledge you need in a simple and practical way. Through his revolutionary and systematic approach, you will learn, regardless of your previous experience, the techniques to manipulate and process datasets, the principles of Python programming, and their real-world applications.
Here’s just a tiny fraction of what you will discover:
What data science is, and why it has become fundamental in hundreds of business and technological applications
The basics of Python programming
Essential Python libraries such as NumPy, Pandas, Matplotlib
All the most effective computational methods for data analysis
Data visualization tools and techniques
How to build statistical and machine learning models (even if you are brand new to programming)
The future of Artificial Intelligence
How to build neural networks with Python
Step-by-step exercises, practical examples, tips and tricksPython for data analysisIntroduction to data analysis
Python review
Important python libraries
Data manipulation
Data aggregation
Data visualization
Machine learning
Artificial neural networks
How to use scikit-learn
K-nearest neighbors algorithm
Splitting the dataset
Feature scaling
K means clustering
Classification
Association rule learning
Reinforcement learning
Ensemble methods