exploratory-data-analysis-eda

An open-source Python library for Data Scientists & Data Analysts designed to simplify the exploratory data analysis process. Using Edvart, you can explore data sets and generate reports with minimal coding.

Pandas practice notebooks for data analysis.

This project demonstrates an end-to-end approach to financial transaction reconciliation, focusing on how raw transactional data can be cleaned, standardized, and systematically matched to identify discrepancies. The notebook walks through the full workflow from business context and exploratory analysis to feature engineering & reconciliation

NYC health is one of the well-known centers in New York City to offer PCR tests for COVID-19 the center decided to establish ten mini examination centers in MTA stations. Thus NYC health is now in a mission to find the most crowded stations in New York City based on analyzing the MTA stations dataset which will give a better understanding of the…

A ML application focused on EDA and basketball analytics, showcasing data visualization and insights using Python and relevant libraries.

Cafeteria Sales Data Analysis using Python & Pandas — Cleaned 10,000+ rows of raw sales data, performed EDA, created Matplotlib visualizations & correlation analysis with business insights and revenue strategies.

Implementación desde cero de un clasificador multiclase mediante regresión logística (One-vs-All), incluyendo análisis exploratorio de datos, visualización y entrenamiento con descenso de gradiente.

Python data analysis project simulating retail sales with EDA and visualizations

Retail Sales Exploratory Data Analysis project using Python, Pandas, and Matplotlib. Includes business insights, sales trends, customer analysis, and data visualizations.

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Predicts U.S. home loan approvals using 4.25M real HMDA 2023 applications — XGBoost, Random Forest, Logistic Regression, ROC-AUC 0.9932