IPython Notebook packaged for Heroku, with data analysis libraries and persistent storage via pgcontents
-
Updated
Mar 29, 2016 - Python
Heroku is a platform as a service (PaaS) that enables developers to build, run, and operate applications entirely in the cloud.
IPython Notebook packaged for Heroku, with data analysis libraries and persistent storage via pgcontents
📓 Readable is @udacity React Nanodegree Project. This app has posts and comments like Hacker News and Reddit. Users will be able to post content to predefined categories, comment on their posts and other users' posts, and vote on posts and comments. Users will also be able to edit and delete posts and comments.
Jupyter Notebook x Docker to Production on Heroku
Web-app and jupyter notebook, fully documented for Capstone of Udacity data science ND. Uses FunkSVD/handwritten gradient descent algorithm plus chi sq to determine recommendations for users based on demographic
Collaborated to create a Machine Learning model trained and tested with a Random Forest model to predict primary emotion based on input audio file. Data cleaned and trained in a Jupyter Notebook using Pandas and Librosa. Results visualized using Pandas, Tableau, and JavaScript functions with bootstrap in a dynamic HTML website.
The project provides a visualization of real estate data utilizing Leaflet, D3, JavaScript, Mapbox, and deployed utilizing Flask and Heroku. Data was geocoded using Python in both Jupyter Notebook and in Flask.
Conmentarium, a simple notebook for all ideas.
One-dimensional-heroku
A simple repository demonstrating transforming a .ipynb machine learning notebook to a deployed rest API using Flit, Flask, and Heroku.
A jupyter notebook server via HEROKU web without Password.
NODE.js + Express: Creates and updates an API for notes in a note taker application. Requires express from npm.