The complete machine learning model and API connections for the DocAid Apps.
-
Updated
Jan 25, 2020 - Jupyter Notebook
The complete machine learning model and API connections for the DocAid Apps.
This project showcases the implementation of a data engineering solution using Python within a Jupyter Notebook environment.
This project scrapes historical cryptocurrency data from the CryptoCompare API, stores it in PostgreSQL, and analyzes it with Python. Using Anaconda for environment management and Jupyter Notebook for data processing, it fetches data for multiple cryptocurrencies and stores it efficiently.
Add a description, image, and links to the jupy topic page so that developers can more easily learn about it.
To associate your repository with the jupy topic, visit your repo's landing page and select "manage topics."