Nidavellir1's repositories
blue-green-H2
Data and codes for blue-green hydrogen competition
BakerHughesHackathon2022
Data Science repository for the Team A Predictive Modeling project of Power Output of a Gas Turbine (W)
CDC-2022
Trend Analyses using Gas Emissions Data for CDC hackathon
Data-science
Collection of useful data science topics along with code and articles
DCNN-timeseries-RUL
DCNN for Machine RUL Prediction using Time-series Data
Energy-DA-from-scratch
Codes from course Energy DA
engauge
Oil and Gas data repository - includes production, work reports, recompletions and economics
euroscipy-2022-time-series
Tutorial on time-series forcasting with scikit-learn
heavydb
HeavyDB (formerly OmniSciDB)
Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
mlops-zoomcamp
Free MLOps course from DataTalks.Club
Natural-Gas-Forecasting-Scheduling
This machine learning model will help natural gas supplier/scheduler prepare for better inventory controls in future. Additionally, the machine learning tool can come up with automated forecasting models and allow one person to do the work of multiple data scientists.
pandas_exercises
Practice your pandas skills!
petroflow
Well data processing and interpretation with ML and deep learning
production-performance
Interactive visual calculation of permeability and fracture half lenght for unconventional oil wells
Project-10-Oil-and-Gas-1932-2014-
It is basically a forecasting problem,here we have all the data of import export and production of oil and gas for 183 countries.
python-sdk
Vortexa DataScience SDK
scipy_con_2019
Tutorial Sessions for SciPy Con 2019
shale-gas-wells
The Korea National Oil Corporation is interested in purchasing shale gas wells from the United States of America, and needs to predict their productions in order to select the wells that maximize profit.
SHELL-DATATHON
Bu datathon kapsamında, Shell Türkiye akaryakıt istasyonlarının 2019 yılındaki haftalık bazda akaryakıt depolama terminallerinden aldıkları akaryakıt ürün türünü ve miktarlarını tahminleyeceğiz.
sktime-workshop-pydata-london-2022
PyData London 2022 sktime workshop