Alternatives and similar repositories for diabetes_readmission

Users that are interested in diabetes_readmission are comparing it to the libraries listed below

• andrewwlong / mimic_bow
  Predict hospital readmission with discharge summaries
  ☆68Updated 7 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 6 years ago
• PacktPublishing / Machine-Learning-for-Healthcare-Analytics-Projects
  Published by Packt
  ☆126Updated 2 years ago
• daniel-codes / hospital-los-predictor
  Prediction of hospital length-of-stay (LOS) at time of admission using gradient boosting
  ☆40Updated 6 years ago
• u-raza / readmission-prediction
  Hospital readmission prediction using machine learning methods
  ☆25Updated 7 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• andrewwlong / odsc_workshop
  Clinical NLP workshop for ODSC
  ☆39Updated 6 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 5 years ago
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆73Updated 5 years ago
• Apress / ai-for-healthcare-keras-tensorflow-2.0
  Source Code for 'AI for Healthcare with Keras and Tensorflow 2.0' by Anshik Bansal
  ☆15Updated 4 years ago
• ArmandDS / jobs_recommendations
  Recommender System Repo
  ☆33Updated 6 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆24Updated 6 years ago
• dipanjanS / nlp_workshop_odsc19
  Contains all tutorials and hands-on examples for the ODSC 2019 Workshop
  ☆39Updated 6 years ago
• jphall663 / diabetes_use_case
  Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
  ☆27Updated last year
• cog-data / ML_Interpretability_tutorial
  A tutorial about Machine Learning Interpretability
  ☆17Updated 6 years ago
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 6 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆26Updated 3 years ago
• IBM / employee-attrition-aif360
  Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to bu…
  ☆46Updated 6 years ago
• Mooseburger1 / Springboard-Data-Science-Immersive
  ☆63Updated 7 years ago
• avisheknag17 / public_ml_models
  ☆62Updated 4 years ago
• bot13956 / ML_Model_for_Predicting_Ships_Crew_Size
  ☆74Updated 6 years ago
• sowmyacr / kmeans_cluster
  Customer segmentation using k-means clustering in python
  ☆60Updated 7 years ago
• yug95 / MachineLearning
  Machine learning for beginner(Data Science enthusiast)
  ☆127Updated 7 months ago
• amanjeetsahu / AI-for-Healthcare-Nanodegree
  Learn to build, evaluate, and integrate predictive models that have the power to transform patient outcomes. Begin by classifying and seg…
  ☆52Updated 5 years ago
• joshxinjie / Data_Scientist_Nanodegree
  ☆77Updated 6 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆28Updated 7 years ago
• nkartik94 / Multi-Label-Text-Classification
  Kaggle Toxic Comments Challenge
  ☆109Updated 7 years ago
• PacktPublishing / Healthcare-Analytics-Made-Simple
  Healthcare Analytics Made Simple, published by Packt
  ☆46Updated 2 years ago
• pycaret / deployment-heroku
  Deployment Heroku
  ☆58Updated last year
• nyumc-dl / BMSC-GA-4493-Spring2019
  BMSC-GA 4493 Deep Learning in Medicine - Spring 2019
  ☆16Updated 6 years ago