3.2.2.Lab : From Modeling to Evaluation - sj50179/IBM-Data-Science-Professional-Certificate GitHub Wiki

DS0103EN-Exercise-From-Modeling-to-Evaluation.ipynb

From Modeling to Evaluation

Estimated time needed: 20 minutes

Objectives

After completing this lab you will be able to:

  • Create Models
  • Evaluate the models

Table of Contents

  1. Recap
  2. Data Modeling
  3. Model Evaluation

Recap

In Lab From Understanding to Preparation, we explored the data and prepared it for modeling.

The data was compiled by a researcher named Yong-Yeol Ahn, who scraped tens of thousands of food recipes (cuisines and ingredients) from three different websites, namely:

https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%202/images/lab2_fig3_allrecipes.png

www.allrecipes.com

https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%202/images/lab2_fig4_epicurious.png

www.epicurious.com

https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%202/images/lab2_fig5_menupan.png

www.menupan.com

For more information on Yong-Yeol Ahn and his research, you can read his paper on Flavor Network and the Principles of Food Pairing.

Important note: Please note that you are not expected to know how to program in python. The following code is meant to illustrate the stage of data collection, so it is totally fine if you do not understand the individual lines of code. There will be a full course in this certificate on programming in python, Python for Data Science, which will teach you how to program in Python if you decide to complete this certificate.