42 Forks
197 Stars
197 Watchers

data-science-toolkit

Collection of stats, modeling, and data science tools in Python and R.

How to download and setup data-science-toolkit

Open terminal and run command
git clone https://github.com/pmaji/data-science-toolkit.git
git clone is used to create a copy or clone of data-science-toolkit repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with data-science-toolkit https://github.com/pmaji/data-science-toolkit/archive/master.zip

Or simply clone data-science-toolkit with SSH
[email protected]:pmaji/data-science-toolkit.git

If you have some problems with data-science-toolkit

You may open issue on data-science-toolkit support forum (system) here: https://github.com/pmaji/data-science-toolkit/issues

Similar to data-science-toolkit repositories

Here you may see data-science-toolkit alternatives and analogs

 graal    adv-r    libRmath.js    natural-language-processing    lectures    spaCy    HanLP    gensim    MatchZoo    tensorflow-nlp    Awesome-pytorch-list    LightGBM    prophet    mal    h2o-3    ggplot2    awesome-R    catboost    shiny    dplyr    data-science-at-the-command-line    devtools    knitr    benchm-ml    r4ds    plotly.R    rmarkdown    DataScienceR    mlr    DiagrammeR