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wei-haoyi Goto Github PK

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Name: Haoyi Wei

Type: User

Company: National Science Foundation

Bio: Economist & Data Scientist

Location: Alexandria, VA

👋 Hi, I’m Haoyi Wei. I am working as a Postdoc Fellow in Data Analysis at the National Center for Science and Engineering Statistics (NCSES) within the National Science Foundation (NSF).
👀 I’m interested in applying causal inference and Machine Learning methods on topics in applied microeconomic and Science of Science.
💞️ I’m looking to collaborate on Health Economics, Labor Economics, and Science of Science.
📫 How to reach me: [email protected]

Haoyi Wei's Projects

awesome-economics

A curated collection of links for economists

bookdown-demo

A minimal book example using bookdown

coursea_r4_publichealth

This is repository for R four Public Health Specialization

coursera_alternative_payment_models

Coursera Alternative Payment Models Certificate

coursera_data_science_certificate

Coursera Data Science Specilization using R

data-science-interview-questions-and-answers

Data science interview questions with answers. Not ideally (yet)

data-science-interviews

Data science interview questions and answers

dataproducts-shinyapps

datasciencectacontent

repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera

datasharing

The Leek group guide to data sharing

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

getting-job-data-science

Collection of advice and resources for getting a job as data scientist

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pumpkin-book

《机器学习》（西瓜书）公式详解

random-forest-hyperparameter-tuning

an example of optimizing random forest in python

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

sql-for-data-science

Notes, annotations, and exercises from Coursera's SQL for Data Science course: https://www.coursera.org/learn/sql-for-data-science

wei-haoyi

Config files for my GitHub profile.

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