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@erdogant

Erdogan

erdogant
Den Haag

Thanks for coming to my sponsor page!

I work at the Ministry of Infrastructure and Water Management (NL) as lead data scientist. Herefore, I worked in various domains, such as Cyber, Finance, Telecom, and the Medical domain where I developed algorithms with a strong focus to let them work in real-world applications.

My open-source projects

In my free time, I like to work on my open-source libraries which are readily downloaded over a million times in total last year! Wow! In addition, I also like writing technical blogs about machine learning methods!

My top libraries are bnlearn which is about causality, the distfit library which is about distribution fitting. Other libraries, such as pypickle, are adopted by conda-forge. Besides the development of such fundamental libraries, I also develop end-to-end libraries that can help you (data) scientists with your projects. An example is the clustimage library which allows clustering of images or the hgboost library that allows fitting models, and handling data in such a way that data leakage is avoided and parameters can be tuned with explainable insights.

If you want more cool features then I need you as a sponsor!

It is very cool to have so many downloads! Love it! but the increasing number of users also increased the number of questions and requests. I now spent many hours in the evenings and weekends answering your questions, and I'm very happy to keep doing that! However, like most of you, I can spend time only once, which leaves me no time anymore for the development of new functionalities. I would love to spend more time developing new (core) functionalities. As an example, for bnlearn I want to implement functionality to compute causal graphs based on continuous data or the development of finding peaks in 2D graphs. The implementation of such functionalities will take a considerable amount of time to build from scratch and test properly.

Become a sponsor by following me on medium!

There are various manners to freely sponsor me. By becoming a follower on medium, it will cost you nothing, and in return, you will receive the blogs that I write! Simply go to my medium profile and press "follow".

Become a sponsor by getting full access to medium subscriptions!

Another easy way to sponsor me is by getting a medium membership by using my referral: full access subscription. This will allow you to read the blogs I publish on medium!

Become a sponsor by donating Bitcoin!

maybe you prefer to donate in bitcoin.

Become a sponsor by Github donations.

I have great one-time and monthly sponsoring tiers. Pick the one that fits your budget. Your support is greatly appreciated!

More info

Check out my Github pages for even more information about me and all my projects.
Check out my blogs for more detailed information about some of the projects. Follow me to receive the newest blogs and other updates.

9 sponsors have funded erdogant’s work.

@erdogant

Reaching the sponsors would buy me time to further develop my open-source projects in part time. There is an urgent need for the development of causal models that can handle continuous data. I will start with that and directly help over ten-thousand users on a monthly basis to allow them to make prescriptive causal models.

@kashik0i
Private Sponsor
@Maleniski
@JohnOmernik
@asherbryant
@vc1492a
@vinogradovkonst
@brentforest
@snehankekre

Featured work

  1. erdogant/bnlearn

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

    Jupyter Notebook 490
  2. erdogant/distfit

    distfit is a python library for probability density fitting.

    Jupyter Notebook 370
  3. erdogant/pca

    pca: A Python Package for Principal Component Analysis.

    Jupyter Notebook 295
  4. erdogant/findpeaks

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

    Python 240
  5. erdogant/d3graph

    Creation of interactive networks using d3 Javascript

    Jupyter Notebook 177
  6. erdogant/clusteval

    Clusteval provides methods for unsupervised cluster validation

    Jupyter Notebook 58

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Most of the development happens in the evenings and by night, a nice beer makes it so much more comfortable. I like my triple beers or karmeliet. Feel free to join when you are in town Delft, NL

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You really appreciate my work as an open-source developer.
Any questions? You'll get my personal email and you will absolutely get an answer.

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The Professional sponsor 🥈

You're continuously using my open-source projects, great! Tell me which project you like most and I'll put a logo in the readme file (and/or documentation). Any questions? You'll get my personal email and you will absolutely get an answer.

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You're very serious about sponsoring my open-source projects, love it. Tell me which project you like most and I'll put a logo in the readme file (and/or documentation), with a link back to a website of your choosing. I can also look at your implementations and discuss the best practices (1 hour a month).

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The star Sponsor ⭐️

This tier is when you have (or build towards) a successful business and rely on open-source libraries. Tell me which project you like most and I'll put a logo in the readme file (and/or documentation), with a link back to a website of your choosing. You will get a 2.5-hour consultant per month, and we can discuss which functionalities you need to make your business even more successful!