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Working from home
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@vinogradovkonst

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erdogant/README.rst

Hi There! 👋

Welcome to my GitHub repo! If you find any bugs are other annoying stuff, let me know or post it on the issue pages. I will try to respond but I do this for free and in my free time! Sometimes a single bug can eat up my entire weekend and evenings but it is worth the trouble because I am really happy that there are hundreds of thousands of downloads yearly!

Your help is very appreciated! There are various ways you can help. You can report bugs/ issues, or even better help out with fixing bugs or maybe adding new features! If you don't have the time or maybe you are still learning, you can also take a Medium Membership using my referral link to keep reading all my hands-on blogs and learn more :-) If you don't need that, there is always an easy way with Coffee :-) Cheers!

A structured list of my repos

All Repos can be found in the Repositories section. If Sphinx pages are available, the link will directly go to the documentation pages.

Statistics Machine learning (Time)Series Vizualization Utils API
bnlearn clusteval findpeaks d3graph df2onehot googletrends
hnet classeval temporalrank d3heatmap pypickle slacki
distfit hgboost caerus treeplot ismember  
pca clustimage   kaplanmeier irelease  
thompson undouble   flameplot pypiplot  
benfordslaw     worldmap dicter  
      colourmap    
      imagesc    
      scatterd    
      d3blocks    

Find here my Pypi download stats

Buy Me a Coffee at ko-fi.com

Overview of open issues

d3blocks bnlearn hnet distfit pca benfordslaw clustimage undouble clusteval classeval hgboost findpeaks d3graph d3heatmap treeplot kaplanmeier ismember dicter

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  1. d3blocks/d3blocks d3blocks/d3blocks Public

    The Python library to create stand-alone and interactive d3 charts.

    Jupyter Notebook 607 55

  2. bnlearn bnlearn Public

    Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.

    Jupyter Notebook 492 47

  3. distfit distfit Public

    distfit is a python library for probability density fitting.

    Jupyter Notebook 370 26

  4. pca pca Public

    pca: A Python Package for Principal Component Analysis.

    Jupyter Notebook 294 43

  5. findpeaks findpeaks Public

    The detection of peaks and valleys in a 1d-vector or 2d-array (image)

    Python 239 29

  6. d3graph d3graph Public

    Creation of interactive networks using d3 Javascript

    Jupyter Notebook 177 26