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doguilmak Goto Github PK
Name: Doğu İlmak
Type: User
Bio: I’m an engineer and web developer who is passionate about artificial intelligence and full stack development.
Twitter: Doguilmak
Location: Ankara
Doğu İlmak's Projects
t-shirt-k-means-clustering
The aim of this study is to cluster the t-shirts produced with the same type of fabric according to their weight and area (m²) values.
taco-trash-annotations-in-context-yolov7x
TACO: Precise trash detection with YOLOv7x. Detect and classify trash items for a cleaner environment. Easy-to-use and customizable.
temp-forecast-rnn
Enhance Turkey's weather forecasting with RNNs for precise climate insights and informed decision-making.
text-analysis-tf-idf
Text Analysis and Information Retrieval with TF-IDF provides tools for TF-IDF vectorization, Bayesian probabilistic retrieval, word frequency analysis, and inner product scoring for information retrieval.
three-temperature-threshold-on-arduino-lilypad
Creating three temperature threshold on Arduino Lilypad.
toxic-tweet-analysis
With PAC and XGBoost classifiers, two models have been developed to predict toxic or non-toxic tweets.
web-page-for-sony-headphones
In this project, a responsive web page was created for 4 different devices. The web page has been developed to be compatible with 1920, 1366, 10 inc Samsung Galaxy Tab and iPhone X, XS and 11 Pro models.
wheel-detection
The aim of this project is to create a tire detection model. In the creation of this object detection model, ResNet50 and Object Detection API have been used.
wildfire-prediction-from-satellite-imagery
Building models that can predict whether an area is at risk of a wildfire or not on satellite images.
wine-type-and-quality-prediction
Building classification and regression models to predict quality and type of the wine.
x-ray-classification-website-with-flask-1
Website was created that allows you to make X-ray diagnosis prediction by using the CNNs machine learning algorithm model.
x-ray-classification-website-with-flask-2
Website was created that allows you to make X-ray diagnosis prediction by using the convolutional neural network model.
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