This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to…
A climate analysis conducted to assist with planning a trip to Honolulu, HI. This analysis uses Python, SQLAlchemy, Flask and Pandas in Jupyter notebook to analyze and share the climate data from a sqlite database.
This website displays some recent information about Mars that was scraped from several websites. Pandas in Jupyter Notebook, BeautifulSoup, Requests/Splinter, a Python powered Flask application, MongoDB, HTML and CSS were used.