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Hey

Hey there it's Erdogan. I am interested in AI, Machine Learning, Deep Learning.

Some of my Notes:

Some of my Projects:

Movie Recommendation App

  • Machine learning based movie recommendation app. Users can combine different movies and get suggestions for the provided combination. I trained a collaborative filtering model and obtain embedding vectors for about 60k movies. Recommendations relies on these embedding vectors. Designed a simple front-end with angular and backend with flask.
  • active website
  • github page

Joke Recommender

  • Again I trained a collaborative filtering model on some jokes. This recommendation system works a little different than the above. I ask users to rate some jokes first, and based on these jokes, system creates a taste profile for the user (embedding vector of the most similar user based on the ratings). The recommendations is done based on this taste profile.
  • Binder App: Binder
  • github page

Collaborative Filtering Notebook

Tabular Models Notebook

NLP Notebook

"Beauty" Detector

  • It is a computer vision application. Basically the app tries to detect "beauty". This project is done only for educational purposes and fun.
  • I collected data using google search. Old version does a binary classification and assign a probability for "beauty" based on the given image.
  • So it was basically a binary image classificiation model.
  • Old Version Model Training
  • Later I improved this app, added it some other features. Two different model works on it. One is a multiclass image classifier (based on gender and "beauty" level). Another is an image regressor (age prediction).
  • Binder App: Binder
  • github page

Price Predictions

Survey App (Angular)

  • It is a simple survey app that I've created for a friend that allows users to create surveys and share it with others. I used Angular. It uses Firebase to store the data
  • deployed app page
  • github page

Some Websites

Crypto Price Compare Bots

  • Some web crawlers that compares crypto prices on different crypto markets and send notification e-mails.