- Category: Computer
- Author: Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta
- File type: PDF
Read and download free eBook intituled Practical Data Science Cookbook: Data pre-processing, analysis and visualization using R and Python in format PDF created by Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta.
If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python.
Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format.
Over 85 recipes to help you complete real-world data science projects in R and Python
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Practical Data Science Cookbook: Data pre-processing, analysis and visualization using R and Python