Skip to content
Snippets Groups Projects
Select Git revision
  • master default protected
  • kv_script_cleanup
  • ab_environments
  • ab_svc_scopes
  • jt_cleanup_clusters
  • ab_use_cloudtools
  • ab_register_url
  • ruchim-patch-1
  • ab_hail_wdl
  • es_deep_clone_script
10 results
Compare
Name Last commit Last update
..
Auto-SKLearn_AutoML
.gitignore
Basic_Containers.ipynb
BigO_C++.ipynb
Central_Limit_Theorem.ipynb
Eigenvalues.ipynb
Functions_in_Python.ipynb
Gradients.ipynb
LICENSE
Loops.ipynb
Numpy_Sympy.ipynb
PTest.ipynb
Pandas.ipynb
Pointers.ipynb
README.md
RREF.ipynb
References.ipynb
Scope_C++.ipynb
StandardLibrary_C++.ipynb
Whitespace_Indentation.ipynb
Zotero_Instructions.ipynb
_Template.ipynb
answercheck.py
environment.yml
README.md

DataTools_Tutorial_Demo

Set of jupyter notebooks created by students in CMSE495 (Michigan State University) that demonstrate some useful data science tools.

This notebook includse an environment.yml file. Create and activate an enviornment using the following commands (Assumes anadonda or minicond is installed):

conda env create --prefix ./envs --file environment.yml conda activate ./envs