Log-based impactful problem identification using machine learning [FSE'18]
-
Updated
Jul 6, 2023 - Python
Log-based impactful problem identification using machine learning [FSE'18]
PiMThor is a Big Data Analysis tool that is used to identify High UL RSSI and Passive Intermodulation Problems with Severity of Cell Towers with high accuracy, efficiency, speed and prediction
Designing a student dashboard for INSAID to enhance peer networking, resource access, and communication in Data Science and Product Management fields.
A new package that helps users understand and navigate the complexities of hybrid cloud environments in 2025. Users can input their specific hybrid cloud challenges, such as data gravity (the tendency
Evidence-based product management case study for an agritech platform, using primary research with 92 farmers across 7 villages to identify rural market-access and advisory gaps, then translating insights into personas, competitor analysis, product strategy, PRD, RICE prioritization, prototype, usability testing, and product metrics.
50 Kaggle notebooks, 50 datasets, one full data science lifecycle each — regression to computer vision, EDA → feature engineering → modeling → evaluation.
Log-based Impactful Problem Identification using Machine Learning [FSE'18]
To associate your repository with the problem-identification topic, visit your repo's landing page and select "manage topics."