Название: Python Data Science: The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and BusinessАвтор: Steve Blair
Издательство: Independently published
Год: 2019
Формат: epub/azw3/pdf(conv.)
Страниц: 161
Размер: 10 Mb
Язык: English
If you’re tired of licensing third-party software for data analysis, Python Data Science will help you do it for yourself!
“Python Data Science” teaches a complete course of data science, including key topics like data integration, data mining, python etc. We will explore NumPy for numerical data, Pandas for data analysis, IPython, Scikit-learn and Tensorflow for machine learning and business.
Each of the chapters in this book is devoted to one of the most interesting aspects of data analysis and processing. The following are some of the major topics covered in Python Data Science:
Understanding Data Science
Getting Started with Python for Data Scientists
Descriptive statistics
Data Analysis and Libraries
NumPy Arrays and Vectorized Computation
Data Analysis with Pandas
Data Visualization
Data Mining
Classifying with Scikit-learn Estimators
Giving Computers the Ability to Learn from Data
Training Machine Learning Algorithms
The Python ecosystem for data science discussed within Python Data Science includes SciPy, NumPy, Matplotlib, Pandas, and Scikit-learn, which provides all of the data science algorithms.
Data processing and analysis is one of the hottest areas of IT, where developers who can handle projects of any level, from social networks to trained systems, are constantly required. We hope this book will be the starting point for your journey into the fascinating world of Data Science.