Elham Ali, MPH, PMP's repositories
realworlddatascience.github.io
Source code and files for Real World Data Science website.
webtoons-comments-in-python
Scraping Tested episodes on WebToons using Python and Selenium
elhamyali.github.io
Code 🔧 and content 📚 for elhamyali.com
TOPC-learning-sessions
Analysis of TOPC learning sessions per cohort
Buying-Behavior-Prediction-British-Airways
Scraping and analyzing customer review data to uncover findings. Building a predictive model to understand factors that influence buying behavior to help British Airways acquire customers before they embark on their holidays
Data-Visualization-in-R
Short course/script on best practices to visualize graphs in R
datascience-box
Data Science Course in a Box
dietitian-sustainability-survey-analysis
Analyzing responses of dietitians towards efforts in shaping sustainable food systems in their practices
dubois-data-portraits
Recreations of W.E.B Dubois's Data Portraits
elham.github.io
💎 🐳 A super customizable Jekyll theme for personal site, team site, blog, project, documentation, etc.
example-portfolio
Example data science portfolio
fairtorch
PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.
great_expectations
Always know what to expect from your data.
mattschapman.github.io
Repository hosting the code for my personal portfolio website.
practical-statistics-for-data-scientists
Code repository for O'Reilly book
r-pkgs
Building R packages
responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
ResponsibleAI
RAI is a python library that is written to help AI developers in various aspects of responsible AI development.
SME-Customer-Churn-Prediction-PowerCo
BCG data science project experience
Statistical-Methods-in-Public-Health-II--A-Book
A book to summarize all key concepts, formulas, and examples relevant to generalized regression models
Statistics-in-R-Cheatsheet
A cheatsheet to applying R skills in statistics from survey data analysis to regression and hypothesis testing
swb-237-impact-initiatives
Recommendations and best practices for analytical process for Impact Initiatives
tidytuesday
This repository contains the R code used to produce my visualisations for the #TidyTuesday challenges.
TOPC-impact-evaluation-dashboard
A dashboard that visualizes process and direct outcomes of The Opportunity Project for Cities
website-template
A website template with credits to Chris von Csefalvay
wids-challenge2-2024
Repository for the DatAvengers team to collaborate on teh challenge
wids-datathon-2024-challenge
Using a unique oncology dataset, this repo develops a model to predict if patients received metastatic cancer diagnosis within 90 days of screening.