Machine learning with dataframes
simple tools for data cleaning in R
Tutorial material on machine learning with dirty data in Python
Synthetic dirty data generator
missing data handing: visualize and impute
Precise object change detection library - Automatically tracks property changes with zero intrusion.
Cleaning the NIH chest x-ray dataset using an image classifier.
CLI to generate relational synthetic data with realistic chaos – nulls, duplicates, drift, and messy formatting.
This is a Machine Learining Model for auto_mpg_dirty Data and trying to find the best model prediction between 5 prediction models which is linear Regression , Random Forest , Tuned Random Forest , Bagging , and tuned Bagging , and all of this after making Column Transformer .
Transforms raw, messy data into a clean and reliable dataset, ready for insightful analysis.
Data wrangling using python and SQL
SQL-based data cleaning and transformation of employee training datasets, focusing on handling missing values, correcting inconsistencies, and optimizing data quality for analysis
Local tool to generate controlled dirty/clean dataset pairs with a machine-readable error manifest — for benchmarking AI data cleaning pipelines.
Flexible JSON decoding for Go — gracefully handling schema variations and forgiving mistakes.
Cleaning a Wikipedia table generated by a web scraping script in Python.
A Python library for iterative and interactive data wrangling at laptop-scale.
Smart disk space analyzer for macOS — dirty data detection, duplicate finder, safety-first cleanup. Built with SwiftUI.
Analytics portfolio showcasing SQL, Python, Tableau, and data visualization projects focused on data cleaning, business reporting, exploratory analysis, and database development.
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