aramdov

Advanced-House-Regression

House Prices: Advanced Regression Techniques Predict sales prices and practice feature engineering, RFs, and gradient boosting. My code on it.

Aram_SimpleTodo

This is my simple todo app for the codepath android application.

Data-Science-Structures-Labs-R-SQL-

DS Principles Notes / Ref material (R & SQL)

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.

Flixster_Aram

Flixster project for codepath android course

Hackerrank-Leetcode-Challenges

Code from the challenges I have completed on Hackerrank, Leetcode and other challenge websites.

Intro_to_C-_Notes

Notes from my Intro to c++ class for reference

Leetcode-top-posts-and-guides

A GitHub archive and aggregator of top content, posts and guides form Leetcode forums and users

LinearRegressions

In PSTAT 126, we use R-Studio to analyze and interpret datasets. Here, see my code and its output on some very interesting problems, plus some pure statistical maths.

Machine-Learning-in-Econometrics

Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"

aramdov/Advanced-House-Regression

House Prices: Advanced Regression Techniques Predict sales prices and practice feature engineering, RFs, and gradient boosting. My code on it.

aramdov/Aram_SimpleTodo

This is my simple todo app for the codepath android application.

aramdov/Data-Science-Structures-Labs-R-SQL-

DS Principles Notes / Ref material (R & SQL)

aramdov/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.

aramdov/Flixster_Aram

Flixster project for codepath android course

aramdov/Hackerrank-Leetcode-Challenges

Code from the challenges I have completed on Hackerrank, Leetcode and other challenge websites.

aramdov/Intro_to_C-_Notes

Notes from my Intro to c++ class for reference

aramdov/Leetcode-top-posts-and-guides

A GitHub archive and aggregator of top content, posts and guides form Leetcode forums and users

aramdov/LinearRegressions

In PSTAT 126, we use R-Studio to analyze and interpret datasets. Here, see my code and its output on some very interesting problems, plus some pure statistical maths.

aramdov/Machine-Learning-in-Econometrics

Collection of lecture notes and excercises for a course "Machine Learning in Econometrics"

aramdov/MachineLearning-AnalysisChallenges

2 Analysis tasks using Machine Learning methods related to social good and impact.

aramdov/malmo-challenge

Task and example code for the Malmo Collaborative AI Challenge

aramdov/mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

aramdov/mlkit_baseapp

aramdov/Multivariate_Calc

Helper functions and other nice problem solvers for multivariate calculus

aramdov/next-js-acme-tutorial

aramdov/NLP-Coding-Challenge

Coding challenge to make a model that helps identify relevant projects for a contractor from a database of a city's construction projects, primarily working with paragraph of text incorporating NLP models.

aramdov/OS_ProblemSetPractice

Practice and open problem sets from OS

aramdov/Parstagram

Parstagram (Similar to Instagram) project for codepath android course

aramdov/personalportoflio

My website and portfolio

aramdov/Predicting-Income-in-the-US

Econometrics project assignment on predicting income based on characteristics from Bureau of Labor Statistics CPS Data. Fitting/training a Linear model.

aramdov/Python_Statistical_Models

Sample code from recent contract to build a predictive model for a local business in the logistics industry.

aramdov/PyTorch_DeepLearning_Jovian

Deep Learning Certification Course with Freecodecamp & JovianML, emphasis on PyTorch

aramdov/scope-labs-educational-video-player

an educational video player

aramdov/SimpleTweet

Twitter mockup for Codepath

aramdov/SmartCalendar-1

AI-Powered Calendar App for CodePath Android course Final Group Project

aramdov/trust

An interactive guide to the game theory of cooperation