Lists (4)
Stars
Interpretable Civic-Accountable and Responsible Machine Learning
Research portfolio for solar PV, machine learning, and data science
The Simulink Agentic Toolkit gives your AI agent both the tools and the expertise to work effectively with Simulink and Model-Based Design.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Machine learning engineer with a physics background, specializing in time-series modeling, anomaly detection, and energy systems. Building scalable, production-ready ML solutions.
A trustworthy document-grounded RAG chatbot for solar and energy technical support, with manual upload, provenance, citations, fault-code lookup, and hallucination-aware answers.
Some data analysis tools for working with historical PV solar time-series data sets.
LLM Agent & Knowledge Graph for PV Solar Materials Science — RDF/OWL · SPARQL · ReAct · Groq
A set of documented functions for simulating the performance of photovoltaic energy systems.
A mini full-stack e-commerce web application built with Flask and Python
Desktop Bible reading plan application using PyQt5 and Biblia API
End-to-end ML system for PV power prediction with MLflow tracking and Flask deployment
Photovoltaic-Model: calculates the current-voltage characteristic of a solar cell using the two-diode model, with a possibility to fit an experimental characteristic
10 Weeks, 20 Lessons, Data Science for All!
This is photovoltaic project designed to be conducted for some PV plants in 2022. Comparative analysis of OLS and WLS techniques are proposed with a view to better P_out predictions
24 Lessons, 12 Weeks, Get Started as a Web Developer