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Name: Leihua Ye
Type: User
Company: University of California, Santa Barbara
Bio: Senior Data Scientist | Political Scientist | Machine Learning | Marathon Runner
Location: San Francisco
Name: Leihua Ye
Type: User
Company: University of California, Santa Barbara
Bio: Senior Data Scientist | Political Scientist | Machine Learning | Marathon Runner
Location: San Francisco
Answers to 120 commonly asked data science interview questions.
My Answer to 120 Data Science Interview Questions
✅ Curated list of resources for college students
Advanced A/B Testing Workshop
Python package for hypothesis testing. Suitable for using in A/B-testing software
Fast and flexible AutoML with learning guarantees.
Accessible AutoML for deep learning.
An index of algorithms for learning causality with data
:books: List of awesome university courses for learning Computer Science!
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
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
This repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, IoT, and Genomics.
Adaptive Experimentation Platform
Code for my book on Multi-Armed Bandit Algorithms
🐢 bayesAB: Fast Bayesian Methods for A/B Testing
TensorFlow code and pre-trained models for BERT
Analysis of SQL Leetcode and classic interview questions. Common pitfalls, anti-patterns and handy tricks are discussed. Sample databases are provided.
Simple example to illustrate machine learning concept
Repository with code and slides for a tutorial on causal inference.
Causal Inference Using Quasi-Experimental Methods
DEPRECATED. See new generalized random forest package for up-to-date implementation.
An R package for causal inference in time series
This the repository for the Spring Causal Inference Course
Causal Inference in Python
Uplift modeling and causal inference with machine learning algorithms
Working repository for Causal Tree and extensions
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.