PYTHON: 2 Books in 1: Python Programming & Data ScienceКНИГИ » ПРОГРАММИНГ
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
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PYTHON: 2 Books in 1: Python Programming & Data Science 
