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Applied Data Science with Python and Jupyter: Use powerful industry-standard tools to unlock new, actionable insights from your data

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Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.

Key Features
  • Get up and running with the Jupyter ecosystem and some example datasets
  • Learn about key machine learning concepts such as SVM, KNN classifiers, and Random Forests
  • Discover how you can use web scraping to gather and parse your own bespoke datasets
Book Description

Getting started with data science doesn't have to be an uphill...