Pinned Repositories
2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
2020DUCdatathon
Datathon Repo
2021-07-13-scipy-pandas
Learn Python Through Data Processing in Pandas
2021_GTXdatathon
Repurposing oil and gas wells for geothermal energy production to generate value from abandoned wells across the world and dramatically improve geothermal economics. By identifying sites from thousands of wells and millions of data points and combine oil and gas with geothermal data, to generate the necessary and actionable insights to help solve this in identifying prospects.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
5DayGeostats_DataAnalytics
5-day course on Geostatistics, Data Analytics and Machine Learning
AI-Course-at-EUMETSAT
amueller.github.io
APMC
Time Series Analysis of the APMC and Monthly Mondi Data
Article.EikonAPI.Python.LNG.arbitrage
In the LNG market, arbitrage can be defined as a strategy of diverting a physical cargo from one market to another which offers a higher price. Price differentials can occur between regional markets due to different pricing structures and imbalances between supply and demand which allows traders to exploit and capitalize on. In this example, we look at the key variable costs to determine if the arbitrage window to Asia is open or if it is more profitable to ship a cargo from the United States to Asia than to Europe
Nidavellir1's Repositories
Nidavellir1/AI-Course-at-EUMETSAT
Nidavellir1/amueller.github.io
Nidavellir1/blue-green-H2
Data and codes for blue-green hydrogen competition
Nidavellir1/BakerHughesHackathon2022
Data Science repository for the Team A Predictive Modeling project of Power Output of a Gas Turbine (W)
Nidavellir1/CDC-2022
Trend Analyses using Gas Emissions Data for CDC hackathon
Nidavellir1/Data-science
Collection of useful data science topics along with code and articles
Nidavellir1/DCNN-timeseries-RUL
DCNN for Machine RUL Prediction using Time-series Data
Nidavellir1/dlisio-notebooks
Nidavellir1/Energy-DA-from-scratch
Codes from course Energy DA
Nidavellir1/energy_data_capstone
Nidavellir1/engauge
Oil and Gas data repository - includes production, work reports, recompletions and economics
Nidavellir1/euroscipy-2022-time-series
Tutorial on time-series forcasting with scikit-learn
Nidavellir1/Hackathon-TimeSeries---CommodityPrice-Foracasting-
Nidavellir1/heavydb
HeavyDB (formerly OmniSciDB)
Nidavellir1/Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
Nidavellir1/mlops-zoomcamp
Free MLOps course from DataTalks.Club
Nidavellir1/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.
Nidavellir1/pandas_exercises
Practice your pandas skills!
Nidavellir1/petroflow
Well data processing and interpretation with ML and deep learning
Nidavellir1/production-performance
Interactive visual calculation of permeability and fracture half lenght for unconventional oil wells
Nidavellir1/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.
Nidavellir1/python-sdk
Vortexa DataScience SDK
Nidavellir1/scipy_con_2019
Tutorial Sessions for SciPy Con 2019
Nidavellir1/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.
Nidavellir1/SHELL-DATATHON
Bu datathon kapsamında, Shell Türkiye akaryakıt istasyonlarının 2019 yılındaki haftalık bazda akaryakıt depolama terminallerinden aldıkları akaryakıt ürün türünü ve miktarlarını tahminleyeceğiz.
Nidavellir1/sktime-tutorial-pydata-berlin-2022
Nidavellir1/sktime-workshop-pydata-london-2022
PyData London 2022 sktime workshop
Nidavellir1/Time-Series-With-Python
Nidavellir1/TimeSeriesForecastingInPython
Nidavellir1/Well-Production-Forecasting