Other key differences - Deepstash

Other key differences

Data collection

  • Python supports all kinds of data formats.
  • R is designed for data analysts to import data from Excel, CSV and text files.

Data exploration

  • In Python, you explore data with Pandas, the data analysis library for Python.
  • With R, you can build probability distributions, apply different tests, use standard machine learning and data mining techniques.

Data modelling

  • Python has standard libraries.
  • With R, you'll sometimes have to rely on packages outside of R's core functionality.

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samanthabqq

Great leaders inspire me. I read and stash about that.

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Machine Learning With Google

Learn more about computerscience with this collection

Understanding machine learning models

Improving data analysis and decision-making

How Google uses logic in machine learning

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