Pinned Repositories
audit-ai
detect demographic differences in the output of machine learning models or other assessments
Building-a-comma-separated-list-on-APS
While in SQL Server has two great methods for grouped concatenation: STRING_AGG(), introduced in SQL Server 2017 (and now available in Azure SQL Database), and FOR XML PATH, if you are on an older version. both options not available on APS PDW as alternative code below
Capricorn_OMOP_Mapping
Map Capricorn dataMart to OMOP CDM
clinical_quality_language
Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) domains. This repository contains complementary tooling in support of that specification.
credit-card-fraud-detection-models
data-engineering-zoomcamp
Free Data Engineering course!
DataScienceInteractivePython
Python interactive dashboards for learning data science
daymet_chicago
Multi-intent-dialoguer
Research project for task-oriented dialogue system with jointly training multi-intent classification and slot filling
US-Core
FHIR R4 version of US Core IG
Amro-Hassan's Repositories
Amro-Hassan/Capricorn_OMOP_Mapping
Map Capricorn dataMart to OMOP CDM
Amro-Hassan/Multi-intent-dialoguer
Research project for task-oriented dialogue system with jointly training multi-intent classification and slot filling
Amro-Hassan/US-Core
FHIR R4 version of US Core IG
Amro-Hassan/audit-ai
detect demographic differences in the output of machine learning models or other assessments
Amro-Hassan/Building-a-comma-separated-list-on-APS
While in SQL Server has two great methods for grouped concatenation: STRING_AGG(), introduced in SQL Server 2017 (and now available in Azure SQL Database), and FOR XML PATH, if you are on an older version. both options not available on APS PDW as alternative code below
Amro-Hassan/clinical_quality_language
Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) domains. This repository contains complementary tooling in support of that specification.
Amro-Hassan/credit-card-fraud-detection-models
Amro-Hassan/data-engineering-zoomcamp
Free Data Engineering course!
Amro-Hassan/DataScienceInteractivePython
Python interactive dashboards for learning data science
Amro-Hassan/daymet_chicago
Amro-Hassan/dbt_DEZ
Amro-Hassan/devops-master-class
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
Amro-Hassan/dicom-server
OSS Implementation of DICOMweb standard
Amro-Hassan/FhirDevVideoNotes
Amro-Hassan/gcp-data-engineer-exam
Study materials for the Google Cloud Professional Data Engineering Exam
Amro-Hassan/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Amro-Hassan/Grey-box-attack
Amro-Hassan/Hands-on-NLP-with-NLTK-and-scikit-learn-
Hands-on NLP with NLTK and scikit-learn[video], published by Packt
Amro-Hassan/infracost
Cloud cost estimates for Terraform in pull requests💰📉 Shift FinOps Left!
Amro-Hassan/LNM-Project
Amro-Hassan/mslearn-mlops
This repository contains hands-on challenges for end-to-end machine learning operations (MLOps) with Azure Machine Learning.
Amro-Hassan/mslearn-mlops-msdpalam
Amro-Hassan/nlptest
Deliver safe & effective NLP models
Amro-Hassan/python-cookbook
Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.
Amro-Hassan/spark-nlp-workshop
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Amro-Hassan/SQL-SERVER-DAILY-HEALTH-CHECK
Perform a daily Sql Server Health Check on your Sql Server 2012 version and above
Amro-Hassan/Sql-Server-DBA-Toolbox
A box of tricks (SQL scripts) that I've built up over many years for Microsoft SQL Server instance and database administration, and general working-with-data.
Amro-Hassan/Trend-Identification-on-Stack-Overflow
This project and its application make it convenient for the users to explore the trendy concepts discussed by people on the SO forum by simply entering a number of values and a keyword they are interested in.