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Name: Alex Pankratov
Type: User
Name: Alex Pankratov
Type: User
The project aims to build single and multi-layer neural network-based classifiers of human activity and compare the performance of these classifiers (see Project memo.pdf for details). PS figures in pdf memo and Jupyter notebook might slightly differ without impact on conclusions.
Comparison of the model forecasting the number of daily confirmed covid deaths in Luxembourg, Egypt and Serbia (separately for each of the beforementioned countries). Details are in Project memo.pdf
Shiny app visualizes air pollution data collected in the Czech Republic from 2013 to 2019. The measurements data (measurements.RData) is downloaded from European Environmental Agency (https://www.eea.europa.eu/themes/air). The file stations.RData contains information about each station. Report.rmd is used for extraction of information in word.
This project is a simple simulator of an epidemic inplemented in Python. See README.md for details.
This project aims to use the regularised regression models such as lasso regression, ridge regression, and elastic nets to identify the variables that predict whether a basketball player will play more than five seasons in the NBA. See details in Project memo.pdf
The aim of the GLMM Project is to build general linear (mixed) models that predicts the total number of medals won by countries. GLMs and GLMMs are examined in the Part 1 and Part 2 respectively. Refer to memos in pdf files for details.
This project aims to build and compare four different models predicting the dropout rates in schools in New York state as well as to understand why models make a certain prediction (see PDF file with the memo for details)
Prediction of red and white wine quality scores using Bayesian analysis under assumption the quality is distributed in accordance with Multinomial distribution. Details are in "Project memo.pdf"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.