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1. NY_state_schools_dropout_rate_prediction NY_state_schools_dropout_rate_prediction Public

   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 wi…

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2. classification_of_human_activity_using_ANN classification_of_human_activity_using_ANN Public

   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 i…

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3. number_of_medals_predictions_with_GLMM number_of_medals_predictions_with_GLMM Public

   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. R…

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4. NBA_career_length_prediction_with_regularized_GLM NBA_career_length_prediction_with_regularized_GLM Public

   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 …

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5. covid_cases_number_prediction_with_ARIMA covid_cases_number_prediction_with_ARIMA Public

   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

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6. wine_quality_prediction_Bayesian_inference wine_quality_prediction_Bayesian_inference Public

   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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