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Oktay Kurt's Projects

anomaly-detection-with-dbscan-and-lof icon anomaly-detection-with-dbscan-and-lof

Depth analysis of a dataset related to hypothyroidism, focusing on anomaly detection using unsupervised learning techniques. The analysis includes data preprocessing, visualization, and the implementation of DBSCAN, Local Outlier Factor (LOF), and a combined method of both.

chasm-inference-scout-setup-guide icon chasm-inference-scout-setup-guide

This guide provides detailed instructions on setting up and running the Chasm Inference Scout, a tool that executes inference tasks assigned by Chasm's Orchestrator. By running the Inference Scout on your server, you can leverage powerful language models and contribute to the Chasm Network.

food-recognition-using-sift-bow-with-traditional-classifiers icon food-recognition-using-sift-bow-with-traditional-classifiers

Implementation of a traditional machine learning approach using Scale-Invariant Feature Transform (SIFT) and Bag of Words (BoW) representation with Support Vector Machines (SVM) for food recognition. The dataset used for this project is the iFood-2019-FGVC6 dataset, which comprises 251 food classes.

human-activity-recognition icon human-activity-recognition

Classifying human activities using data collected from smartphone sensors. The main components are data preprocessing, feature analysis, model training, and evaluation. The project includes scripts for data preparation, model training, and a Streamlit dashboard for model evaluation.

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