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Emirhan BULUT's Projects

aid362-bioassay-classification-and-regression-neuronal-network-and-extra-tree-with-machine-learnin icon aid362-bioassay-classification-and-regression-neuronal-network-and-extra-tree-with-machine-learnin

I developed Machine Learning Software with multiple models that predict and classify AID362 biology lab data. Accuracy values are 99% and above, and F1, Recall and Precision scores are average (average of 3) 78.33%. The purpose of this study is to prove that we can establish an artificial intelligence (machine learning) system in health. With my regression model, you can predict whether it is Inactive or Inactive (Neural Network or Extra Trees). In classification (Neural Network or Extra Trees), you can easily classify the provided data whether it is Inactive or Active.

automatic-ecg-diagnosis icon automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

classification-thanks-to-the-svm-model-with-7-years-of-ozone-data-with-machine-learning icon classification-thanks-to-the-svm-model-with-7-years-of-ozone-data-with-machine-learning

I developed 2 machine learning software that predict and classify ozone day and non-ozone day. The working principle of the two is similar but there are differences. I got the dataset from ics.icu. Each software has a different mathematical model, Gaussian RBF and Linear Kernel, and classifications are visualized in different ways. I would be happy to present the software to you!

clonecleaner icon clonecleaner

An extension for Automatic1111 to work around Stable Diffusion's "clone problem". It automatically modifies your prompts with random names, nationalities, hair style and hair color to create more variations in generated people.

emirhanai icon emirhanai

Deep Learning and Machine Learning Engineer Resume

keras-io icon keras-io

Keras documentation, hosted live at keras.io

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