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Getting artificial intelligence down to a fine art
:octocat:
Getting artificial intelligence down to a fine art

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@NeuralAILab @PRAISELAB

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edaaydinea/README.md

Eda AYDIN

I'm a self-taught woman engineer for artificial intelligence in healthcare (especially neuroscience).

I'm a Clinical Data Analyst - Scientist, and Healthcare Data Scientist.

🎓My Learning - Experience Journey


  • Graduate Student Clinical Researcher - Clinical Research Data Scientist (2024 - Present)
  • Graduate Research Student in Computational Neuroscience and Neurodegenerative diseases (2023 - 2024)
  • Deep Learning Engineer in Providing Artificial Intelligence Software for Medical Imaging (2023 - 2024)
  • Graduate Research Student in Traumatic Brain Injury (2022)
  • Graduate Research Student in Dementia (2022)
  • Graduate Research Student in Multiple Sclerosis (2021)
  • Summer Research Student in ML and Neuroscience (2021)
  • Research Student in COVID-19 Medical Image AI Model Research and Development (2020)
  • Research Student in Data Science for Development (2020)
  • Artificial Intelligence Intern in NLP (2019)

👷 Check out what I'm currently working on

🌱 My latest projects

🏆My Latest Certifications

💻 My Latest Blogs

📄 My Latest Publications

🥇Competitions

Month/Year Competition Name URL Score
February 2023 ML Olympiad 2023 - Breast Cancer Diagnosis ML Olympiad-Breast Cancer Diagnosis | Kaggle 8/64

My Skill Set

Frameworks, Platforms and Libraries

Anaconda FastAPI OpenCV

Databases

MySQL Postgres SQLite

IDEs/Editors

Android Studio CLion IntelliJ IDEA Jupyter Notebook PyCharm RStudio Visual Studio Code

Languages

Python R Julia Java Octave LaTeX Markdown HTML5 CSS3 JavaScript

ML/DL

Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow

Developer / Forums

Hackerrank LeetCode Hackerearth

Education

Coursera edX Duolingo


Connect with me

LinkedIn Kaggle WordPress Outlook


Support me

edaaydinea




Coding Activity Progress

Weekly Development Breakdown

Code Time

Profile Views

Lines of code

🐱 My GitHub Data

📦 3.6 MB Used in GitHub's Storage

🏆 614 Contributions in the Year 2024

🚫 Not Opted to Hire

📜 89 Public Repositories

🔑 11 Private Repositories

I'm a Night 🦉

🌞 Morning                121 commits         ⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   02.84 % 
🌆 Daytime                1436 commits        ⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   33.71 % 
🌃 Evening                1768 commits        ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   41.50 % 
🌙 Night                  935 commits         ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   21.95 % 

📅 I'm Most Productive on Monday

Monday                   851 commits         ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   19.98 % 
Tuesday                  657 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   15.42 % 
Wednesday                628 commits         ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   14.74 % 
Thursday                 592 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   13.90 % 
Friday                   444 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   10.42 % 
Saturday                 494 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   11.60 % 
Sunday                   594 commits         ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   13.94 % 

📊 This Week I Spent My Time On

🕑︎ Time Zone: Europe/Istanbul

💬 Programming Languages: 
Python                   42 hrs 7 mins       ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿   98.48 % 
Markdown                 27 mins             ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.08 % 
Canva Design             11 mins             ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.43 % 
JSON                     0 secs              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.00 % 

🔥 Editors: 
Chrome                   39 hrs 24 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀   92.11 % 
VS Code                  3 hrs 6 mins        ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   07.28 % 
Edge                     15 mins             ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   00.60 % 

🐱‍💻 Projects: 
Blog                     14 hrs 11 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   33.18 % 
AIinHealthcare           8 hrs 54 mins       ⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   20.82 % 
MachineLearning          5 hrs 22 mins       ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   12.55 % 
in_PythonObjectOrientedPr5 hrs 12 mins       ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   12.18 % 
Coding                   3 hrs 40 mins       ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   08.59 % 

💻 Operating System: 
Windows                  42 hrs 46 mins      ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿   100.00 % 

I Mostly Code in Jupyter Notebook

Jupyter Notebook         35 repos            ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   56.45 % 
Python                   10 repos            ⣿⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   16.13 % 
Java                     7 repos             ⣿⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   11.29 % 
HTML                     6 repos             ⣿⣿⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   09.68 % 
TeX                      1 repo              ⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   01.61 % 

Timeline

Lines of Code chart

Last Updated on 20/09/2024 01:46:48 UTC

Pinned Loading

  1. AI-Projects-for-Healthcare AI-Projects-for-Healthcare Public

    This repository is included artificial intelligence, machine learning, data science, computer vision projects related to healthcare.

    Jupyter Notebook 131 42

  2. Chest-Xray-Image-Classification-by-using-PyTorch-CNN Chest-Xray-Image-Classification-by-using-PyTorch-CNN Public

    The repository includes my project for Deep Learning with PyTorch: Zero to GANs is Chest X-Ray Image Classification (Pneumonia) which I obtained from the Kaggle - Chest X-Ray Dataset.

    Jupyter Notebook 16 1

  3. Pneumonia-Detection-on-Chest-Xray-Images-with-Deep-Leaning Pneumonia-Detection-on-Chest-Xray-Images-with-Deep-Leaning Public

    This repository includes pneumonia detection on Chest X-ray Images by using Deep Learning(Keras).

    Jupyter Notebook 17 6

  4. Estimating-the-Probability-of-Confirmed-COVID-19-Cases-Taking-into-the-Intensive-Care-Unit-ICU- Estimating-the-Probability-of-Confirmed-COVID-19-Cases-Taking-into-the-Intensive-Care-Unit-ICU- Public

    This repository includes the slides and coding parts for the Estimating the Probability of Confirmed COVID-19 Cases Taking into the Intensive Care Unit (ICU).

    Jupyter Notebook 7

  5. Low-Grade-Glioma-Segmentation Low-Grade-Glioma-Segmentation Public

    This is a capstone project on a real dataset related to segmenting low-grade glioma. This capstone project is included in the UpSchool Machine Learning & Deep Learning Program in partnership with G…

    Jupyter Notebook 9 1

  6. OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data Public

    This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

    Jupyter Notebook 9 1