Adaptive Experimentation Platform

Sketching data structures for scala, including t-digest

Automated Canary Service

🐢 bayesAB: Fast Bayesian Methods for A/B Testing

A curated list of causal inference libraries, resources, and applications.

Unstructured Code with interesting analysis

Helpful user defined fuctions / table generating functions for Hive

Statistical Bootstrap in Python

UpliftML: A Python Package for Scalable Uplift Modeling

This repository contains the slides of the FAU lecture Pattern Recognition

A python library for conducting interleaving, which compares two or multiple rankers based on observed user clicks by interleaving their results.

Automatically exported from code.google.com/p/smhasher

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Answers to 120 commonly asked data science interview questions.

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Inte…

Cracking the Coding Interview 6th Ed. Solutions

Python - 100天从新手到大师

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Python - 100天从新手到大师

GitHub Actions repo to build and deploy case counts app

Uplift modeling and causal inference with machine learning algorithms

A complete computer science study plan to become a software engineer.

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

Causal Inference in Python

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Compilation of resources and insights that helped me on my journey to data scientist

Course Files for Complete Python 3 Bootcamp Course on Udemy