Paper Reimplementations & Reproductions

My personal reproductions and reimplementations of research papers in Python/Jupyter notebooks during my PhD studies.

Focus: ML, data analysis, optimization, anomaly detection, and EDA tools.

Current Entries

• DataPrep.EDA (2021) — Reimplementing core task-centric EDA features from the SIGMOD 2021 paper "DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python"

  → dataprep_eda_reimplementation.ipynb

  →

  Goal: Build simplified versions of auto-EDA functions (overview stats, distributions, correlations, missing values) without using the original library.

More notebooks coming soon!

Setup

pip install -r requirements.txt

jupyter notebook

OR

Simpily open in Colab no setup required