Original PDF Ebook – Python Data Science Essentials – Second Edition2nd Edition – 9781786462138
Become an efficient data science practitioner by understanding Python’s key concepts_x000D_About This Book_x000D_
Quickly get familiar with data science using Python 3.5_x000D_
Save time (and effort) with all the essential tools explained_x000D_
Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience_x000D_
Who This Book Is For_x000D_
If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills._x000D_
What You Will Learn_x000D_
Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux_x000D_
Get data ready for your data science project_x000D_
Manipulate, fix, and explore data in order to solve data science problems_x000D_
Set up an experimental pipeline to test your data science hypotheses_x000D_
Choose the most effective and scalable learning algorithm for your data science tasks_x000D_
Optimize your machine learning models to get the best performance_x000D_
Explore and cluster graphs, taking advantage of interconnections and links in your data_x000D_
In Detail
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