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Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools

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Think about your data intelligently and ask the right questions

Key Features

  • Master data cleaning techniques necessary to perform real-world data science and machine learning tasks
  • Spot common problems with dirty data and develop flexible solutions from first principles
  • Test and refine your newly acquired skills through detailed exercises at the end of each chapter

Book Description

Data cleaning is the all-important first step to successful data science, data analysis, and machine learning. I...