This repository contains jupyter notebook and other resources made by me during learning Data Science

📓 [Active] Portafolio of data science projects. Using: Python, PyTorch, Spark, Tensorflow, Scikit, Keras. Includes Classification, Regression, Time series, NLP, Deep learning, among others.

A list of Jupyter Notebooks containing projects about data

Example of map plotting on a jupyter notebook. I apply what I learned in the Python for Data Science course at the University of California San Diego. (https://credentials.edx.org/records/programs/shared/68aa6a10ec1f456fb755953418ef61b4/) (https://courses.edx.org/certificates/8fd69041d1e4402b9979d072618f3672)

Meu portfólio de projetos de Data Science. Aqui disponibilizo meus Jupyter Notebooks de análises e projetos que abrangem Data Science e Inteligência Artificial.

The Goodreads data set consists of information on over 11000 books, including title, author, publisher, rating, and review information. This notebook is exploratory data analysis of the data from the Goodreads dataset.

Using Python in Jupyter Notebook to recreate queries for imaginary stakeholders. Demonstrates connecting to MySQL, exporting tables to Excel, merging data, cleaning datasets, and counting orders. Visualizations include bar plots, revenue plots, pie charts, scatter charts, and map manipulation with geopandas. Dataset from MySQL.