edgarakopyan

Armenian-Survey-Sample

The Armenian survey data is in CSPro format. This is a code that transforms it into an R compatible dataset.

Assessment-of-Machine-Learning-models-in-Economic-Research

Code for "Assessment of Machine Learning models in Economic Research" Master Thesis.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

course-v3

The 3rd edition of course.fast.ai

datasheet_generation

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.

edgar_akopyan.github.io

Second Website

edgarakopyan.github.io

Personal Website

Measuring-Unfair-Inequality-in-Russia

This is a repository of code and data for a paper studying unfair inequality in Russia. More information available in the READ.ME file.

pyod

(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

edgarakopyan/Armenian-Survey-Sample

The Armenian survey data is in CSPro format. This is a code that transforms it into an R compatible dataset.

edgarakopyan/Assessment-of-Machine-Learning-models-in-Economic-Research

Code for "Assessment of Machine Learning models in Economic Research" Master Thesis.

edgarakopyan/awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

edgarakopyan/course-v3

The 3rd edition of course.fast.ai

edgarakopyan/datasheet_generation

edgarakopyan/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.

edgarakopyan/edgar_akopyan.github.io

Second Website

edgarakopyan/edgarakopyan.github.io

Personal Website

edgarakopyan/Measuring-Unfair-Inequality-in-Russia

This is a repository of code and data for a paper studying unfair inequality in Russia. More information available in the READ.ME file.

edgarakopyan/pyod

(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

edgarakopyan/Election-Predictor-Trump-vs-Biden

edgarakopyan/fastai

The fastai deep learning library, plus lessons and tutorials

edgarakopyan/grf

Generalized Random Forests

edgarakopyan/handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

edgarakopyan/ICML2021

MY personal repo for ICML2021 talks and papers

edgarakopyan/lectures

Lecture notes for EC 607

edgarakopyan/LEI-Dataset

The code transforms LEI Dataset of Commercial legal entities and their relations into csv files. (to be updated)

edgarakopyan/lit

Literature for the self-taught AI practitioner! 📚

edgarakopyan/machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

edgarakopyan/Mapa-de-Fosas

This is a code for scraping map of mass burials during the Spanish Civil War. The information on locations is taken from Spanish Government website.

edgarakopyan/ml-course-hse

Машинное обучение на ФКН ВШЭ

edgarakopyan/Practical_DL

DL course co-developed by YSDA, HSE and Skoltech

edgarakopyan/Python-for-Finance-

edgarakopyan/Tabular-Playground-Series---Apr-2021

My attempt at https://www.kaggle.com/c/tabular-playground-series-apr-2021/data

edgarakopyan/Zomato-Restaurant-Dataset-Analysis

A depository with a code for my team undergraduate statistics paper, analysing Zomato Restaurant dataset from Kaggle.