These projects are all end-to-end machine learning and data analysis pipelines applied to locally relevant Armenian datasets, spanning sectors like real estate, automotive, finance, climate, and social media.
A web scraping and machine learning project that collects real estate listings from Yerevan using Selenium, processes...
An end-to-end machine learning project analyzing Armenian kindergarten data across 9 cities. It includes web scraping...
A group project from Armenia Code Academy focused on water quality classification using machine learning. The project...
This repository contains a Jupyter Notebook project analyzing a dataset of tech salaries in Armenia. It applies multi...
A Jupyter Notebook project for predicting car prices in the Armenian market using linear regression and hyperparamete...
A machine learning project for predicting house prices in Armenia using a RandomForest model. Includes data scraping/...
This repository contains Jupyter notebooks and Python tools for downloading and analyzing ERA5 climate reanalysis dat...
A machine learning project analyzing Armenian credit registry data to predict loan defaults using logistic regression...
A thesis project analyzing Armenia's real estate market using data visualization, price prediction models, and featur...
A thesis project analyzing Armenian political discourse on Twitter using NLP techniques including sentiment analysis,...
A complete data science pipeline project analyzing Yerevan's real estate market. It includes web scraping to collect ...
This project is a data science pipeline analyzing Yerevan's real estate market. It includes web scraping of Armenian ...