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Machine Learning | Statistics | D3js | Visualizations
Funding Links: https://github.com/sponsors/erdogant
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.
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
Language: Jupyter Notebook - Stars: 489distfit is a python library for probability density fitting.
Language: Jupyter Notebook - Stars: 370pca: A Python Package for Principal Component Analysis.
Language: Jupyter Notebook - Stars: 294The detection of peaks and valleys in a 1d-vector or 2d-array (image)
Language: Python - Stars: 238Creation of interactive networks using d3 Javascript
Language: Jupyter Notebook - Stars: 176Clusteval provides methods for unsupervised cluster validation
Language: Jupyter Notebook - Stars: 57