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1. anomaly-detection-with-DBSCAN-and-LOF anomaly-detection-with-DBSCAN-and-LOF Public

   Depth analysis of a dataset related to hypothyroidism, focusing on anomaly detection using unsupervised learning techniques. The analysis includes data preprocessing, visualization, and the impleme…

   Jupyter Notebook

2. food-recognition-using-SIFT-BoW-with-traditional-classifiers food-recognition-using-SIFT-BoW-with-traditional-classifiers Public

   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 recognitio…

   Jupyter Notebook

3. human-activity-recognition human-activity-recognition Public

   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…

   Python

4. price-prediction-with-machine-learning price-prediction-with-machine-learning Public

   This repository contains machine learning models for predicting prices using various machine learning techniques.

   Jupyter Notebook

5. setting-up-a-celestia-light-node-for-mainnet-beta setting-up-a-celestia-light-node-for-mainnet-beta Public

   This guide will walk you through setting up a Celestia light node on the Mainnet Beta, enabling you to perform data availability sampling (DAS) on Celestia's data availability (DA) network.

6. chasm-inference-scout-setup-guide chasm-inference-scout-setup-guide Public

   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 …

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