acflippo Goto Github PK
Name: Annie Flippo
Type: User
Company: Urgent.ly Roadside Assistance Platform
Bio: Chief Data Officer
Location: Los Angeles, CA
Blog: Urgent.ly
Name: Annie Flippo
Type: User
Company: Urgent.ly Roadside Assistance Platform
Bio: Chief Data Officer
Location: Los Angeles, CA
Blog: Urgent.ly
Medium Article https://medium.com/@ozdogar/frequentist-vs-bayesian-a-b-testing-1f2e94e33515
Artificial Intelligence projects, documentation and code.
Artificial Intelligence Projects
Bandit Algorithm. https://medium.com/@conrmcdonald/solving-multiarmed-bandits-a-comparison-of-epsilon-greedy-and-thompson-sampling-d97167ca9a50
Bayesian A/B testing techniques
Repository with code and slides for a tutorial on causal inference.
Uplift modeling and causal inference with machine learning algorithms
Coursera Clean and Get Data Course Project
Coursera Machine Learning Class
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
How to start a successful data science initiative, project and team.
datasciencecoursera
The Leek group guide to data sharing
Data Con LA 2019: Refining Customer Segments with Location presentation
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Simple Social Site
Django Python Website Example
Deep Learning Foundation Projects
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
A collection of common data science models and visualizations.
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 goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Plotting Assignment 1 for Exploratory Data Analysis
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
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.