Old book pages (with groundtruth), formerly used for OCR studies. There are several versions of the set (concerning resolution and binarization). Noised and denoised sets (done by several methods) are eventually going to be uploaded.

Python script to scrap www.goodreads.com books shelves.

Hackathon conducted on Machinehack to predict the price of books find which feature are affecting the price more and train your model with your choice of machine learning model.

Análisis exploratorio y cuadro de mando del mercado literario basado en los 10,000 mejores libros de Goodreads. Incluye limpieza de datos, modelado dimensional y visualizaciones para apoyar decisiones de marketing editorial.

This project combines web scraping and exploratory data analysis (EDA) on book listings from "Books to Scrape". Scraped 1000 books using Python, cleaned the dataset, and uncovered insights on categories, pricing trends, and availability using Pandas and Seaborn. Part of my Data Analyst portfolio series.