DataScience

Repository for R Shiny app: https://katerina-pap.shinyapps.io/MA-cont-prepostES/

Time Series Model, Simple Linear Regression Model, Multiple Linear Regression Model, Polynomial Regression Model,Logistic Regression Model

My portfolio of algorithms I used to analysize various shapes and forms of data with statistical and machine learning tools.

Models parcel prices across Pittsburgh to isolate the effect of location by controlling for parcel characteristics. Uses WLS regression and ANCOVA to estimate adjusted prices, then links price variation to crime, school quality, and geography.

Anova and Ancova with Kruskal-Wallis test to check the relationship between independent and dependent variables on bike rental history..

This contains the schoolwork of statistical data analysis at HKU, including Boston Housing Price Analysis and a condensed R code for the course materials

Project files for randomized block design analysis with ANCOVA.

Efficacité d'une thérapie cognitivo-comportementale dans le traitement du syndrome de Gilles de la Tourette avec symptomatologie TDAH comorbide

Exploratory and Statistical analysis of FIFA-19 Football player's wage

Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.

Curso de Regression Models do Coursera

Associação entre artrose e alteração de ângulos espino-pélvicos em pacientes com impacto femoroacetabular

Analysis of survey data collected by M. Weisend in the Thar Desert, India. Includes example analysis using stepwise regression and ANCOVA.

scripts for draft intervention book

R programming and its application to data analysis and statistical methods

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

This repository contains the R code done in the laboratories during the first course of statistical models.