Practical Data Science Cookbook - Second Edition Free eBook

Over 85 recipes to help you complete real-world data science projects 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.  

What You Will Learn:

  • Learn and understand the installation procedure and environment required for R and Python on various platforms
  • Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python
  • Build a predictive model and an exploratory model
  • Analyze the results of your model and create reports on the acquired data
  • Build various tree-based methods and Build random forest
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