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Bu projede Breast Cancer data veri seti kullanılarak KNN (K Nearest Neighbor) SVM (Support Vector Machine) Naive Bayes algoritmalarıyla eğitim yapılmıştır. Eğitimde Gridsearch kullanılarak en optimum parametreler bulunmuştur.

Python 100.00%
breast-cancer-classification gridsearchcv knn-classification machine-learning naive-bayes-classifier python streamlit svm-classifier

cancer_data_learning_script's Introduction

Mustafa Özdemir YZUP İleri Python Mini Proje

Bu projede Breast Cancer data veri seti kullanılarak KNN (K Nearest Neighbor) SVM (Support Vector Machine) Naive Bayes algoritmalarıyla eğitim yapılmıştır. Eğitimde Gridsearch kullanılarak en optimum parametreler bulunmuştur.

Uyarı!

Bu script sadece Breast Cancer Wisconsin (Diagnostic) Data Set için tasarlanmıştır.
Kaggle Link

Çalıştırmadan Önce

- streamlit
- pandas
- numpy
- seaborn
- matplotlib
- sklearn

Kütüphanelerini bilgisayarınıza kurmalısınız!

Çalıştırmak için

Proje dizinindeyken komut istemine bu kodu yazın.

python -m streamlit run main.py

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