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Wolfram U

Creating a Data Science Pipeline for Recipe Classification: Wolfram U

via Wolfram U

Overview

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How to complete a data science project. Learn to import, clean and analyze your data. Communicate your results using visualizations, reports and a cloud-deployed web app.

Course Overview
Learn the fundamental steps you need to complete a data science project. This video shows you how to use Wolfram Notebooks to build a modular project pipeline. With the use of a basic example, you will learn to import your data, clean it, analyze it and communicate your results using visualizations, reports and a cloud-deployed web app.Featured Products & Technologies: Wolfram Language and Wolfram Notebooks (available in Mathematica and Wolfram|One)
You'll Learn To


Use Wolfram Notebooks for building a technical workflow
Set up a project pipeline for a multiparadigm data science project
Download and import data
Restructure data


Carry out exploratory analysis
Use machine learning to build a predictive model
Create visualizations to communicate interesting results
Deploy a simple app, powered by machine learning, to the cloud

Syllabus

  • Use Wolfram Notebooks for building a technical workflow
  • Set up a project pipeline for a multiparadigm data science project
  • Download and import data
  • Restructure data
  • Carry out exploratory analysis
  • Use machine learning to build a predictive model
  • Create visualizations to communicate interesting results
  • Deploy a simple app, powered by machine learning, to the cloud

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