- Quantitative Analysis for voting behaviors
- Customer Retention with ANN
- Google Forms results analysis
- Statistical Analysis for Msc Module
- EDA , Earthquakes in Greece
- X-Ray Pneumonia Detection

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Quantitative Analysis for voting behaviors

Implement quantitative methods to data collected from civilians, trying to predict their voting behavior.

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Customer Retention with ANN

Predict behavior to retain customers. Analyze all relevant customer data and develop focused customer retention programs.

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Google Forms results analysis

Extract Google forms results and analysing them. Dealed with descriptive statistics, plots, parametric and non-parametric tests, multiple linear regression and a multilayer perceptron model.

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Statistical Analysis for Msc Module

Analysis of a given dataset, for module " Tools for Statistical Data Analysis". Dealed with descriptive statistics, plots, parametric and non-parametric tests, multiple linear regression and built a deep neural network.

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EDA , Earthquakes in Greece

From an updated and extended earthquake catalogue for Greece and adjacent areas since 1901 an exploratory data analysis was made in order to examine results and draw some insights. Data collected from all stations, corresponding to earthquakes occurring in the territory of Greece and the bordering areas, are analyzed routinely in detail. Institute of Geodynamics, National Observatory of Athens

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X-Ray Pneumonia Detection

A CNN is built to classify whether an input of a chest X-Ray image reveals pneumonia or not. Dataset contains 2 classes:
Normal : Here are the samples that describe the normal (no pneumonia) case
Pneumonia : This directory contains those samples that are the pneumonia cases.Model was built using keras library.

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