Name: George Vyshnya
Type: User
Bio: A Data Scientist & Software Dev with blended industrial experience in software development, IT, DevOps, operation and project management, and C-level roles
Location: Kyiv, Ukraine - Warsaw, Poland
Blog: www.linkedin.com/in/gvyshnya, www.kaggle.com/gvyshnya
George Vyshnya's Projects
This repo is dedicated to various experiments and research with the data of 'House Prices: Advanced Regression Techniques' problem
The repo contains various materials created as a part of Cornell Birdcall Identification project
Materials and experiments with the dataset for 'Child Mind Institute - Detect Sleep States' competition
This is the home of my public efforts in data analytics, research and data science/software development dedicated to various aspects of COVID-19 impact analysis
The notebook with materials related to credit risk prediction competition (https://inclass.kaggle.com/c/adatelemz-si-platformok-2016-2-gyakorlat/)
Materials developed as assignments and projects within Data Science Specialization course at Hopkins Univ
This repo provides the end-to-end case study on how to build effective Big Data-scale ETL solutions in Google Cloud Platform, using PySpark/Dataproc and Airflow/Composer
This is a repository created by George Vyshnya in course of studies at Data Scientists Toolbox course
The Leek group guide to data sharing
Make your data science projects reproducible and shareable. https://dataversioncontrol.com
Materials of a case study to build a DVC-based ML pipeline for an R project with ensemble prediction
ERP made Simple
The repo with Data Analytics artifacts to track the international corporate exodus from russia amid the war in Ukraine
Full Stack Web Framework in Python & JS. Used to build ERPNext
PHP Wrapper for ERPNext API
The repo demonstrates an end-to-end ML pipeline to predict UK house prices based on the historic sales data for 1995-2015
This repo collects the various research artifacts and final-quality notebooks with the research on Kaggle 2021 Survey results.
Solution for Kaggle Rossmann Store Sales Competition
This repo contains a Keras-based neural network solution to tackle a binary classification problem
This repo contains the artifacts of ML experiments to detect / classify various malware attacks based on the classical MalImg Dataset
This repo is dedicated to the reference implementation of an ML solution as well as packaging and deploying it as a Web-based Google Cloud Platform's cloud functoion
This repo contains the materials for the 'Mechanisms of Action' competition at Kaggle
Repository for Programming Assignment 2 for R Programming on Coursera
News mini-site implemented in React JS (with mini-server implemented in node.js)
This is the repo with Python code of models developed in Google Russian Text normalization competiontion (https://www.kaggle.com/c/text-normalization-challenge-russian-language/)
This is the notebook with various submission scripts used to tackle the Kaggle competition per https://inclass.kaggle.com/c/can-we-predict-voting-outcomes
The repo contains materials of a project to deliver data mining and data visiualization/analytics based on geospacial data of telecom infrastructure and customer locations of a large national telecom operator
This repo contains the notebooks with the comprehansive EDA and data-driven insights from the data collected in Kaggle's 2020 survey of 'State of Data Science and Machine Learning 2020'.
This repo contains the materials and artifacts related to the experiments with the dataset of Kaggle's Dec 2021 Tabular Playground Competition.
Various AutoML and ML Experiments on Kaggle's Feb 2021 Tabular Contest Dataset