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Alex Pankratov's Projects

classification_of_human_activity_using_ann icon classification_of_human_activity_using_ann

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.

covid_cases_number_prediction_with_arima icon covid_cases_number_prediction_with_arima

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

czech_rep_air_pollution_vizualization_shiny_app icon czech_rep_air_pollution_vizualization_shiny_app

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.

nba_career_length_prediction_with_regularized_glm icon nba_career_length_prediction_with_regularized_glm

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

number_of_medals_predictions_with_glmm icon number_of_medals_predictions_with_glmm

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.

ny_state_schools_dropout_rate_prediction icon ny_state_schools_dropout_rate_prediction

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)

wine_quality_prediction_bayesian_inference icon wine_quality_prediction_bayesian_inference

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"

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