Davut E. Ayan's Projects
Answers to 120 commonly asked data science interview questions.
R code collection
List of useful links
Marketing Analytics Notes
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
A repository for all of my teaching material
Authoring Books and Technical Documents with R Markdown
Causal Inference in R Workshop
R code for causal graph animations
Causal Inference Crash Course for Scientists
This repository consolidates my teaching material for "Causal Machine Learning".
Data, Code and other material for CodeChella concert
:mortar_board: Path to a free self-taught education in Computer Science!
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
DataCamp course excercises
Ingest sample retail data, build visualizations to explore past purchase behavior and use machine learning to predict the likelihood of future purchases
Coursera Data Science Specilization using R
The Leek group guide to data sharing
personal portfolio website
Sources for successfull Data Science interviews preparation.
Config files for my GitHub profile.
Causal-inference oriented doctoral econometrics course at UO
This is the repository for the slides used in the Seattle University Econometrics course
Race and Ethnicity based on name using data from census, voter reg. files, etc.
Plotting Assignment 1 for Exploratory Data Analysis