MachineYan/ACA_ML_Project
ACA(Armenia Code Academy) Group Project, Theme:Water Quality Classification Problem
A group project from Armenia Code Academy focused on water quality classification using machine learning. The project uses two Kaggle datasets to predict water potability, with the second dataset providing better results (>90% accuracy). The repository contains Jupyter notebooks documenting data preprocessing, model training, and evaluation.
An end-to-end machine learning project analyzing Armenian kindergarten data across 9 cities. It includes web scraping...
An R Shiny dashboard for visualizing and analyzing water quality data from Armenia. It features interactive time-seri...
This repository contains Jupyter notebooks and Python tools for downloading and analyzing ERA5 climate reanalysis dat...
A Next.js website for AI4ALL Armenia, an initiative to democratize AI education for Armenian youth and teachers. It i...
A pilot project by Teevial to assess youth perceptions of water cleanliness in a rural Armenian school. Includes a da...
A machine learning project analyzing Armenian credit registry data to predict loan defaults using logistic regression...