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Hi, Iā€™m Plamen!

šŸ‘€ Iā€™m interested in solving complex problems with the help of data and technology.

šŸŒ± Iā€™m working on unlocking business potential with data science and AI.

šŸ’žļø Iā€™m looking to collaborate on data science projects.

šŸ“« How to reach me

All models are wrong, but some are useful!

Plamen Rabadzhiyski's Projects

aind2-cnn icon aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

applied-ml icon applied-ml

šŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

cheatsheets icon cheatsheets

Some useful documents that help me in my daily work.

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

free_r_tips icon free_r_tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

orbit icon orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

pm_tools icon pm_tools

Tool in pypi to calculate the most popular project management metrics like Earned Value, Planned Value, Schedule Variance, Cost Variance. Schedule Performance Index, and Cost Performance Index.

projectspark icon projectspark

Predicting customer churn with the help of Spark framework.

pymodeltime icon pymodeltime

Pymodeltime offers a unified framework tailored to address a broad spectrum of requirements, including time series forecasting and various machine learning models.

pytimetk icon pytimetk

Time series easier, faster, more fun. Pytimetk.

shiny-reticulate-app icon shiny-reticulate-app

An end-to-end tutorial creating an R Shiny app that uses the reticulate package with Python 3

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