Priyanka O (priya-gitTest)

priya-gitTest

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Location:Netherlands

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Priyanka O's repositories

apprise

Apprise - Push Notifications that work with just about every platform!

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awesome-github-profile-readme

😎 A curated list of awesome GitHub Profile READMEs 📝

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awesome-notebooks

Ready to use data science templates, organized by tools to jumpstart your projects in minutes. 😎 published by the Naas community.

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course

The Hugging Face course

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data-analysis-speedup

Material for my PyConDE & PyData Berlin 2022 Talk "5 Steps to Speed Up Your Data-Analysis on a Single Core"

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data-engineering-practice

Data Engineering Practice Problems

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evidently

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

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fal

do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

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flask-reuploaded

File uploads for Flask.

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Hands-On-Data-Preprocessing-in-Python

Hands-On Data Preprocessing in Python, published by Packt

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Idiomatic-Pandas-Tutorial

Pandas Training © MetaSnake 2022, CC BY-NC

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IkigAI

IkigAI is an opensource library dedicated for debiasing algorithms and feature selection based on interpretability for Fair, efficient model development and monitoring.

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IntroPythonForDS

Teaching material for the Introduction to Python at the Data Science Retreat

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machine-learning

Practical Full-Stack Machine Learning

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MSS

A QT application, a OGC web map server, a collaboration server to plan atmospheric research flights.

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openml-tutorial-pyconde2022

OpenML python tutorial for Pycon-PyData 2022

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pandas_tutorials

Tutorials on Pandas for data analysis

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pycon22-prometheus-workshop

Workshop material for PyCon DE 2022 by @Vinesse and @sleepypioneer

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pyconde-pydata-berlin-2022

Jupyter ❤️ WebAssembly ❤️ Python Talk at PyCon DE & PyData Berlin 2022 🐍

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pydata_berlin_2022_scikit_learn_tutorial

Scikit-learn tutorial on model inspection given in PyConDE & PyData Berlin 2022

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pydataberlin-2022

This Repository contains the material for the tutorial "Introduction to MLOps with MLflow" held at pyData/pyCon Berlin 2022.

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refactoring_tutorial

The refactoring tutorial I wrote for PyConDE 2022. You can also work through the exercises on your own.

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SuperResolution_aniso_MRI

Autoencoding of low-resolution MRI for Super-Resolution of anisotropic MRI

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synthea

Synthetic Patient Population Simulator

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talks-2

respository containing all public talks

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