Emine Kesici (emykes)

emykes

Geek Repo

Company:Data Analyst @ TFS

Location:Dallas, TX

Home Page:https://www.linkedin.com/in/emine-kesici/

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Emine Kesici's repositories

Flu_Vaccination_ML

The aim of this study is to predict how likely individuals are to receive their H1N1 flu vaccine. We believe the prediction outputs (model and analysis) of this study will give public health professionals and policy makers, as an end user, a clear understanding of factors associated with low vaccination rates. This in turn, enables end users to systematically act on those features hindering people to get vaccinated.

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SkinCancerImageClassification

The aim of this project is to use Convolutional Neural Networks (CNNs) to distinguish dermoscopic images of malignant skin lesions from benign lesions.

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applied-ml

πŸ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

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best-of-ml-python

πŸ† A ranked list of awesome machine learning Python libraries. Updated weekly.

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data-engineering-zoomcamp

Free Data Engineering course!

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ds-lesson-hub

Central hub of my personal resources to teach Flatiron School's Online Data Science Curriculum V2.1

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imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

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markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

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mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

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natural-language-processing

Resources for "Natural Language Processing" Coursera course.

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public-api-lists

A collective list of free APIs for use in software and web development πŸš€ (Clone of https://github.com/public-apis/public-apis)

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Python

All Algorithms implemented in Python

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tech-interview-handbook

πŸ’― Curated interview preparation materials for busy engineers

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WIDS-Google

Documents and information for WIDS@Google 2022 Datathon

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