GitHub - schwill2018/applied_datascience_capstone: This repository houses the instructions, files, and work for the IBM Applied Data Science Capstone

schwill2018 / applied_datascience_capstone Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

This repository houses the instructions, files, and work for the IBM Applied Data Science Capstone

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.ipynb_checkpoints		.ipynb_checkpoints
Contents		Contents
Buiness_Problem(Intro)_README.txt		Buiness_Problem(Intro)_README.txt
LICENSE		LICENSE
Master_final.ipynb		Master_final.ipynb
Notebook - AppDS Capstone.ipynb		Notebook - AppDS Capstone.ipynb
README		README
Recommendation Engine Summary.pdf		Recommendation Engine Summary.pdf
Recommendation_Engine.MainCode.html		Recommendation_Engine.MainCode.html
ideal_nbrd_recco_dual-sup_machine_learning.pdf		ideal_nbrd_recco_dual-sup_machine_learning.pdf

Repository files navigation

This repository houses the instructions, files, and work for the IBM Applied Data Science Capstone. The Capstone project covers virtually all stages of production of a Kmeans Clustering Model and content-based recommendation engine.