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Name: Fatih Afşin
Type: User
Company: NETAS
Location: Istanbul
Name: Fatih Afşin
Type: User
Company: NETAS
Location: Istanbul
Twitter adlı sosyal medya uygulamasından elde edilen veriler ile oluşturulmuş veri setinde doğal dil işleme yöntemleri kullanılarak siber zorbalık tespitinin yapılması hedeflenmiştir. Porje bir sınıflandırma problemi olduğu için çeşitli sınıflandırma algoritmaları kullanılarak başarım oranları ölçülmüştür.
Kişisel olarak veri bilimi alanında gelişebilmek için oluşturduğum repo..
E-Ticaret ile alakalı oluşturduğum klasör'deki Veri Setini Merkez Bankasının Apisine bağlanarak elde ettiğim Türkiyenin Son 5 yılda haftalara göre verilerdir .
İt's my first portfolio
Fake News Detection using Natural Language Processing methods. There are 2 different studies in this repository. The first is my work using the LSTM neural network. The second one consists of the works I have done using the Multinomial NaiveBayes and Logistic Regresion algorithms using TFIDF Vectorizer.
This repository contains some experiments with Python.
Kaggle platformunda bulunan titanik veri seti yarışması için yapmış olduğum çalışmam.
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