Log-based impactful problem identification using machine learning [FSE'18]
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Updated
Jul 6, 2023 - Python
Log-based impactful problem identification using machine learning [FSE'18]
Repository for 5G-Monarch paper
Labs completed on different subjects in "Igor Sikorsky Kyiv Polytechnic Institute"
Repositorio personal con la estructura de la DB, vistas, consultas y procesos ETL para la Base de Datos del Departamento de Ciencias Básicas utilizada para el cálculo de los indicadores académicos del Sistema Multidimensional de Indicadores
Log-based Impactful Problem Identification using Machine Learning [FSE'18]
Multipurpose toolkit for measuring companies' (partnerships, sole proprietorships and corporations) financial, operational and overall business performance.
Rapticore API Connector for findings stats - rapticore.com
Doctor Droid - Python SDK for custom events
The project revolves around the development of a user-friendly web interface system. This system aims to facilitate malware identification by allowing users to upload CSV files for analysis. The PE data within these files will be analyzed using a predefined data set, generating predictions to determine whether the file is malicious or not.
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