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  • 🧑‍💻 I'm a Data Scientist working at the Department für Frauengesundheit, Universitäts-Frauenklinik in Tübingen
  • 📚 I am currently learning AWS essentials and FastAPI
  • 🌍  I'm currently based in Heidelberg, Germany
  • ✉️  You can contact me at [email protected]

My skills include

Python linux HTML CSS JavaScript Git Docker PostGres MySQL VSCode

My Github Stats

Anand Deshpande's Projects

7oskaaa icon 7oskaaa

Config files for my GitHub profile.

advanced-statistical-data-analysis icon advanced-statistical-data-analysis

Based on advanced methods of statistical data analysis and stochastical simulation like e. g. kernel density estimation, the Bootstrap method, the creationof random numbers, the EM algorithm, survival analysis, the maximum-penalized-likelihood estimation and different test methods.

algorithms icon algorithms

Minimal examples of data structures and algorithms in Python

intropythonfords icon intropythonfords

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

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mogonet icon mogonet

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

osmnx icon osmnx

OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.

python icon python

All Algorithms implemented in Python

python-is-cool icon python-is-cool

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

re-net icon re-net

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

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