Data-Science-Jupyter-Notebooks

A set of algorithms and Visualizations in Jupyter Notebook with datasets included

install dependencies by running

• pip install -r requirements.txt

Conda info

 active environment : base
active env location : C:\Users\gill\Anaconda3
        shell level : 1
   user config file : C:\Users\gill\.condarc
populated config files : C:\Users\gill\.condarc
      conda version : 4.7.5
conda-build version : 3.18.5
     python version : 3.6.8.final.0
   virtual packages :
   base environment : C:\Users\gill\Anaconda3  (writable)
       channel URLs : https://repo.anaconda.com/pkgs/main/win-64
                      https://repo.anaconda.com/pkgs/main/noarch
                      https://repo.anaconda.com/pkgs/r/win-64
                      https://repo.anaconda.com/pkgs/r/noarch
                      https://repo.anaconda.com/pkgs/msys2/win-64
                      https://repo.anaconda.com/pkgs/msys2/noarch
                      https://conda.anaconda.org/conda-forge/win-64
                      https://conda.anaconda.org/conda-forge/noarch
      package cache : C:\Users\gill\Anaconda3\pkgs
                      C:\Users\gill\.conda\pkgs
                      C:\Users\gill\AppData\Local\conda\conda\pkgs
   envs directories : C:\Users\gill\Anaconda3\envs
                      C:\Users\gill\.conda\envs
                      C:\Users\gill\AppData\Local\conda\conda\envs
           platform : win-64
         user-agent : conda/4.7.5 requests/2.22.0 CPython/3.6.8 Windows/10 Windows/10.0.17134
      administrator : False
         netrc file : None
       offline mode : False

Presentation mode

• Open a notebook
• Select Cell Tools on the left side bar
• Select the Slide Type
• Activate another cell
• Repeat 3 and 4
• $ jupyter nbconvert foo.ipynb --to slides --post serve