This ETL (Extract, Transform, Load) project employs several Python libraries, including Airflow, Soda, Polars, YData Profiling, DuckDB, Requests, Loguru, and Google Cloud to streamline the extraction, transformation, and loading of CSV datasets from the U.S. government's data repository at https://catalog.data.gov.

• Updated Dec 10, 2023
• HTML

The model predicts household energy usage using historical data and weather factors to optimize consumption and promote sustainability.

• Updated Mar 5, 2026
• HTML

A python project using Streamlit, Pycaret and Pandas to demo an automated data modelling🤖 workflow.

• Updated Mar 30, 2025
• Python

The model predicts household energy usage using historical data and weather factors to optimize consumption and promote sustainability.

• Updated Oct 21, 2024
• HTML

YData Profiling

• Updated Oct 22, 2024
• HTML

Repositório para geração de relatórios exploratórios a partir de arquivos CSV utilizando a biblioteca ydata-profiling.

• Updated Mar 21, 2025
• Python

Comparison between several Python data profile libraries.

• Updated Mar 1, 2024
• HTML

Pancreatic disease prediction from biomarker tabular data (Debernardi et al., 2020) — EDA, classical ML (CatBoost/LightGBM/XGBoost), PyTorch MLP, LightAutoML, Optuna HPO, and rigorous evaluation

• Updated Oct 7, 2025
• Jupyter Notebook

Inspired by ydata-profiling. Automated exploratory data analysis web app — upload any CSV and instantly get stats, correlations, missing value insights and smart alerts.

• Updated Apr 17, 2026
• Python

This repository contains the code snippets, short and long scripts for EDA, and some useful libraries to save time.

• Updated Apr 1, 2025
• Python

🩺 Predict pancreatic disease status using advanced machine learning techniques with a focus on reproducibility and accuracy in biomarker data analysis.

• Updated Jun 16, 2026
• Jupyter Notebook

Generate reports with ydata_profiling

• Updated Jan 24, 2026
• Python

BI analytics project analyzing traffic collision data across Austin, Chicago, and NYC to identify high-risk patterns and inform public safety interventions using ETL pipelines and interactive dashboards.

• Updated Feb 14, 2026
• HTML

A modern, web-based Exploratory Data Analysis (EDA) tool built with Streamlit and ydata-profiling. Transform your CSV data into comprehensive insights with just a few clicks!

• Updated Jan 13, 2026
• Python

This project provides an in-depth analysis of a Mobile Games Dataset. It features a Jupyter Notebook for data processing and a comprehensive HTML profiling report—generated via ydata-profiling—that covers dataset statistics, variable correlations, and missing value analysis for 53 game observations across 9 key variables.

• Updated May 11, 2026
• HTML

An interactive data cleaning, profiling, and prediction platform built with Streamlit.

• Updated Aug 30, 2025
• Python

Exploratory Data Analysis on Titanic Dataset.

• Updated Jan 23, 2026
• HTML

About Me

• Updated Mar 4, 2026

Get instant EDA reports on every DataFrame in your Metaflow steps — zero code changes

• Updated Mar 9, 2026
• Python

Automated data profiling and quality gates for ETL pipelines using ydata-profiling.

• Updated Jun 16, 2026
• HTML