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about_me = {
    'fullname': 'Ekaterina Zababurina',
    'birthday': '1998-07-16',
    'location': 'Russia, St. Petersburg',
    'education': [
        {
            'degree': 'bachelor',
            'uni': 'Vyatka State University',
            'dates': '2016 - 2020',
            'study_program': 'Software Development'
        },
        {
            'degree': 'master',
            'uni': 'Peter the Great St. Petersburg Polytechnic University',
            'dates': '2020 - 2022',
            'study_program': 'Software Engineering'
        }
    ],
    'interests': ['backend (python)', 'artificial intelligence', 'machine learning'],
}

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Ekaterina Zababurina's Projects

knighttour icon knighttour

Warnsdorf's rule. Визуализация задачи о ходе коня по правилу Варнсдорфа.

kudago icon kudago

KudaGo app // surfschool // it-univer43

nltkbook icon nltkbook

Learning and solving from the NLTK Book at http://www.nltk.org/book/

python-compare-images icon python-compare-images

This repository is mainly about comparing two images. The technique used is SSIM. i.e. Structural Similarity Index Measure We use some of the inbuilt functions available in python's skimage library to measure the SSIM value. Along with SSIM we also measure the MSE ( Mean Square Error ) To know more about the SSIM technique Refer Here: https://en.wikipedia.org/wiki/Structural_similarity

rswag icon rswag

Seamlessly adds a Swagger to Rails-based API's

screens-app icon screens-app

simple app for saving screenshots on Dropbox (python3.7 + tkinter)

sentimental icon sentimental

A simple dictionary-based sentiment analysis system with Russian language support

so-cal icon so-cal

Semantic Orientation Calculator for Sentiment Analysis

store-api icon store-api

Electronic store API (python3 + flask + mongodb)

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