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Predicting Demand in Primary Health Care Centers in Lebanon: Insight from Syrian Refugees Crisis

Python 30.09% R 0.80% Jupyter Notebook 69.12%
time-series uncertainty utility-based-regression shapley probabilistic-forecasting imbalanced-data syrian-refugees public-health machine-learning data-science

forecasting-demand-primary-health-care's Introduction

Hi there, I'm Hiyam 👋

I'm a Researcher and a Data Scientist!

  • I’m actively working on NLP projects 💬!
  • I'm also actively researching Arabic NLP tasks (Language modeling, Sentiment Analysis, emotion Analysis...)
  • I'm interested in DL, ML, and DS 💻

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Hiyam Ghannam | Email Hiyam Ghannam | Twitter Hiyam Ghannam | LinkedIn Hiyam Ghannam | Scholar Hiyam Ghannam | Research Gate

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forecasting-demand-primary-health-care's Issues

do you know Utility-based regression UBR code only in python, not R?

great code thanks

1
do you know Utility-based regression UBR code only in python, not R?
2
why you did not used this
https://cran.r-project.org/web/packages/UBL/UBL.pdf

Package ‘UBL’
July 13, 2017
Type Package
Title An Implementation of Re-Sampling Approaches to Utility-Based
Learning for Both Classification and Regression Tasks
Description
Provides a set of functions that can be used to obtain better predictive performance on costsensitive and cost/benefits tasks (for both regression and classification). This includes resampling approaches that modify the original data set biasing it towards the user preferences.

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