Dennis Lyubyvy's repositories
shiny_demo_4701
Shiny Demo for Data Visualisation class
NYPD-Motor-Vehicle-Collisions-API-for-R
NYPD Motor Vehicle Collisions API for R
causalml
Uplift modeling and causal inference with machine learning algorithms
dowhy
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.
easy.sankey.network
Sankey Network one-line visualisation in R
EconML
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.
scikit-uplift
:exclamation: uplift modeling in scikit-learn style in python :snake:
airbnb-data-collection
Data collection for Airbnb listings.
awesome-renewable-energy-investments
Open Source list of stocks and indexes in renewable energy area
aws_prices
Interface to AWS prices using R and Shiny
crash-course-in-causality
https://www.coursera.org/learn/crash-course-in-causality
dennis-stat.github.io
Dennis Blog
denniskorablev.github.io
Curated list of resources about Amazon Sagemaker
df.terminal.edit
R functions to edit data frame in terminal
example-models
Example models for Stan
Getting-and-Cleaning-Data-Course-Project
Getting and Cleaning Data Course Project by Denys Liubyvyi
hitbtc-api
hitbtc API
kaggle_house_prices
https://www.kaggle.com/c/house-prices-advanced-regression-techniques/leaderboard
Patient2Vec
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
pylift
Uplift modeling package.
team-shiny
Columbia University STAT 4701 Spring 2015 "Team Shiny" repo