aramdov's repositories
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.
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"
MachineLearning-AnalysisChallenges
2 Analysis tasks using Machine Learning methods related to social good and impact.
malmo-challenge
Task and example code for the Malmo Collaborative AI Challenge
Multivariate_Calc
Helper functions and other nice problem solvers for multivariate calculus
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.
OS_ProblemSetPractice
Practice and open problem sets from OS
personalportoflio
My website and portfolio
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.
Python_Statistical_Models
Sample code from recent contract to build a predictive model for a local business in the logistics industry.
PyTorch_DeepLearning_Jovian
Deep Learning Certification Course with Freecodecamp & JovianML, emphasis on PyTorch
SimpleTweet
Twitter mockup for Codepath
SmartCalendar-1
AI-Powered Calendar App for CodePath Optional Group Project
Statistics_Fundamentals_Python
Notes from Datacamp course called Statistical Thinking in Python,