Skip to content

Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.

Notifications You must be signed in to change notification settings

trenton3983/DataCamp

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DataCamp

  • DataCamp offers interactive courses in the browser.
    • I've taken coursers from COURSERA, edX, UDACITY, Udemy and LinkedIn Learning, but I prefer the format implemented by DataCamp.
  • As noted, the courses are interactive, in the browser, so I have taken the time to create Jupyter Notebooks for most of the courses I've taken.
    • I have implemented my notebooks in such a way as to be fully executable, though there may be some required backend setup (e.g. downloading data files or setting up a PostgreSQL database).
    • Links to data are in the notebook.
    • There are no hidden functions.
  • An executed HTML version of my notebooks can be found here.

About

Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published