venkateshhari Goto Github PK
Name: Hari Venkatesh
Type: User
Company: Individual Researcher
Bio: Economist
Location: India
Name: Hari Venkatesh
Type: User
Company: Individual Researcher
Bio: Economist
Location: India
Causal Inference in Economics
Uplift modeling and causal inference with machine learning algorithms
Articles/ Journals and Videos related to Economics:chart_with_upwards_trend: and Data Science :bar_chart:
Statistical Learning and Causal Inference for Economics
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.
Replication code for "Exchange Rate Reconnect"
This is the final project on practical machine learning course offered by Johns Hopkins University through coursera platform
HTML file for final project on Machine Learning
Replication code for "International Currencies and Capital Allocation" (JPE Forthcoming, 2019).
Introduction to Python for Data Science.
Loan application analysis
Managerial Economics II: Machine Learning and Causal Inference
A comparative assessment of machine learning classification algorithms applied to poverty prediction
@@@Already checked nothing important, it is edx course project work@@@. Prediction of economic growth or contraction using Machine Learning techniques
Combining satellite imagery and machine learning to predict poverty
Replication code for "The Rise of the Dollar and Fall of the Euro" (AEA P&P, 2019)
Statistical inference on machine learning or general non-parametric models
template code for a job candidate website using hugo-academic as a base
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.