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Hi there! I am sharing my knowledge with the world through my blogs and open-source GitHub projects.

Your ❤️ is important to keep maintaining my packages. It is awsome that there are readily millions of downloads but to keep the libraries alive, I often need to make all kinds of fixes. This can eat up my entire weekend and evenings. Yes, I do this for free and in my free time! 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!

Buy Me a Coffee at ko-fi.com

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

Overview of open issues

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

Erdogan's Projects

benfordslaw icon benfordslaw

benfordslaw is about the frequency distribution of leading digits.

bnlearn icon bnlearn

Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

caerus icon caerus

Detection of favorable moments in time series data

classeval icon classeval

Evaluation of supervised predictions for two-class and multi-class classifiers

clusteval icon clusteval

Clusteval provides methods for unsupervised cluster validation

clustimage icon clustimage

clustimage is a python package for unsupervised clustering of images.

colourmap icon colourmap

Colourmap generates an unique lit of RGB and HEX colors for the specified input list

d3blocks icon d3blocks

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

d3graph icon d3graph

Creation of interactive networks using d3 Javascript

d3heatmap icon d3heatmap

d3heatmap is a Python package to create interactive heatmaps based on d3js.

datazets icon datazets

Datazets is a python package to retrieve example data sets.

df2onehot icon df2onehot

Convert a unstructured array into a stuctured dataframe.

dicter icon dicter

Python package with advanced dictionary functions. Traverse through nested dicts. Set and get multiple keys. Flattens dicts. Store and load in json and more!

distfit icon distfit

distfit is a python library for probability density fitting.

etutils icon etutils

etutils is python package with helper functions that are used across various other packages. Installing this package on itself may not be so interesting.

findpeaks icon findpeaks

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

flameplot icon flameplot

flameplot is a python package for the quantification of local similarity across two maps or embeddings.

googletrends icon googletrends

Google trends is to examine trending google searches on geographical location and across time for input keywords.

hgboost icon hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

hnet icon hnet

Association ruled based networks using graphical Hypergeometric Networks.

irelease icon irelease

Library that automates releasing your Github python package at Pypi.

kaplanmeier icon kaplanmeier

kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.

pca icon pca

pca: A Python Package for Principal Component Analysis.

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