Creating a Data Science Pipeline for Recipe Classification: Wolfram U

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.

Summary
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 Cloud, Wolfram Language, Wolfram Notebooks


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