Hans Olav Melberg's Projects
Economic evaluation in pyton (health technology assessment, markov models, discrete event simulation, agent based simulation)
A library for defensive data analysis.
English and European soccer results 1871-2016
Visualizations for machine learning datasets
Analysis and datasets about football (soccer)
Getting data from Football-Data.co.uk
A hodgepodge of JSON and CSV Football/Soccer data
Guideline Description Language tools
Python script to download NYC marathon results
A set of notebooks demonstrating methods for how to analyze hospital and prescription data using Python
Health Data Analytics Demonstrator
Hospital admission data was analyzed to accurately predict the patient’s Length of Stay at the time of admit so that the hospitals can optimize resources and function better.
Tools for health registry analysis in python
Sentiment analysis and aspect classification for hotel reviews using machine learning models with MonkeyLearn.
A comma-separated file of 2018 ICD-10 codes.
Simple converter for ICD-9-CM to ICD-10-CM codes.
Estimates the annual number of new cases ('disease incidence') from a Pandas dataframe of individual level event data (hospital events, prescriptions). Adjusts for limited look-back time. Also adjusts for limited look-forward time when the case-definition requires at least two events.
IPython Notebook packaged for Heroku, (fork from mietek, edited, experimental)
Introduction to Statistics using Python
Journal of Statistical Education Paper on Using OkCupid Data for Data Science Courses
Adds a button to your notebook toolbar that allows you to hide all input and only show widget & output.
RJSE/RISE: "LIVE" Reveal - Jupyter/IPython Slideshow Extension
machine learning and deep learning tutorials, articles and other resources
comment section for make tutorial app
Marathon finishing times
A Python package for various 2D matrix operations and manipulations.
Easily create an interactive motion chart from a Pandas dataframe in Python. Publish the chart as a standalone webpage, show it in Jupyter notebook or save it as a file