LeihuaYe
Senior Data Scientist | Political Scientist | Machine Learning | Marathon Runner
University of California, Santa BarbaraSan Francisco
Pinned Repositories
awesome-courses
:books: List of awesome university courses for learning Computer Science!
Bootstrap_in_Python
Bootstrap_in_R
Causal-Inference-Using-Quasi-Experimental-Methods
Causal Inference Using Quasi-Experimental Methods
Causalinference
Causal Inference in Python
DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
Machine-Learning-Rare-Event-Classification
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
Matrix_in_Python
Python_LeetCode_Coding
Statistical_Simulation_In_Python
LeihuaYe's Repositories
LeihuaYe/Python_LeetCode_Coding
LeihuaYe/Causal-Inference-Using-Quasi-Experimental-Methods
Causal Inference Using Quasi-Experimental Methods
LeihuaYe/Machine-Learning-Rare-Event-Classification
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
LeihuaYe/Statistical_Simulation_In_Python
LeihuaYe/Bootstrap_in_Python
LeihuaYe/Bootstrap_in_R
LeihuaYe/Matrix_in_Python
LeihuaYe/decision
LeihuaYe/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
LeihuaYe/machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc.
LeihuaYe/stats-with-python
Learning statistics with Python
LeihuaYe/upliftml
UpliftML: A Python Package for Scalable Uplift Modeling
LeihuaYe/awesome-cs-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
LeihuaYe/bayesAB
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
LeihuaYe/DraftKings_Data_Manipulation
LeihuaYe/exploratory-notebooks
Unstructured Code with interesting analysis
LeihuaYe/GenericML
R implementation of Generic Machine Learning (Chernozhukov, V., Demirer, M., Duflo, E., & Fernández-Val, I., 2021).
LeihuaYe/GenericML_blog_post
R code for the Medium blog post: Not Merely Averages: Using Machine Learning to Estimate Heterogeneous Treatment Effects (CATE, BLP, GATES, CLAN)
LeihuaYe/github-slideshow
A robot powered training repository :robot:
LeihuaYe/interleaved-python
Library for analyzing interleaved search A/B tests to determine preference between competing ranking functions
LeihuaYe/knowledge-repo
A next-generation curated knowledge sharing platform for data scientists and other technical professions.
LeihuaYe/mab
Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
LeihuaYe/pr-slides
This repository contains the slides of the FAU lecture Pattern Recognition
LeihuaYe/proctor
Proctor is a Java-based A/B testing framework developed by, and used heavily within, Indeed.
LeihuaYe/scrapy-cluster
This Scrapy project uses Redis and Kafka to create a distributed on demand scraping cluster.
LeihuaYe/shap
A game theoretic approach to explain the output of any machine learning model.
LeihuaYe/sixpack
Sixpack is a language-agnostic a/b-testing framework
LeihuaYe/smhasher
Automatically exported from code.google.com/p/smhasher
LeihuaYe/ssrm
Sequential Sample Ratio Mismatch(SRM) Test
LeihuaYe/wasabi
Wasabi A/B Testing service is an open source project that is no longer under active development or being supported