svenvanpoucke Goto Github PK

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

back-prediction

corona-tracker

A web application promoting accurate COVID-19 guidelines and tracking user symptoms

covid19

Analyses about the COVID-19 virus

data-mining-for-breast-cancer-detection-using-rapidminer

The paper focuses on analysing the breast cancer data available on kaggle.com with the aim of developing an accurate prediction model using Data mining techniques. For the purpose of this research, we used RapidMiner as the software platform and evaluated the dataset using Decision Tree, Naïve Bayes, and k-NN classification techniques.

docker-gnuradio-pluto

Docker image for GNU Radio with ADALM-PLUTO SDR

early-prediction-of-sepsis-from-clinical-data

eicu-code

Code and website related to the eICU Collaborative Research Database

eicu_benchmark

eu2018wnv

2018 West Nile Virus Determinants Maps - Europe

gi-score-pubmed-data

healthcare

keras

Deep Learning for humans

learn-python3

Jupyter notebooks for teaching/learning Python 3

lime

Lime: Explaining the predictions of any machine learning classifier

machine_learning_in_rapidminer

Demo of using RapidMiner in machine learning

mimic-ii-rapidminer

mimic-iv-code

Code and discussion around the MIMIC-IV database

mljar-supervised

Automates Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

personal-website

Code that'll help you kickstart a personal website that showcases your work as a software developer.

rapidminer-python-scripting

Python snippets (e.g. statistical functions) for use in Python Scripting extension of Rapidminer

rapidminerblogmaterials

seq-severityscore

Developing severity scores that are better calibrated in the most critically ill patients.

shap_demo

Demo of shapely values for interpreting decision tree model

shap_xgboost

Feature importance using XGBoost

textplot

treeexplainer-study

Code and documentation for experiments in the TreeExplainer paper

weatherdataparser

A parser that can download data about weather stations from https://climatecenter.fsu.edu/ and parse them trough https://geo.fcc.gov/api/census/#!/area/get_area to get the county of the stations. The Process-Folder contains the data mining processes for RapidMiner.