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Type: User
Bio: once upon a time i woke up in silence to see myself as raijin
Type: User
Bio: once upon a time i woke up in silence to see myself as raijin
DUC datathon 2020 competition
Analysis of Eagle Ford Shale Assets using Python
Repo for energy analytics coursework
Projects worked on during my NSC 323: Energy Analytics practicum course Fall 2019. Throughout this course, a team and I worked closely with employees of ConocoPhillips on real industry problem statements. We used machine learning and statistical analysis to make various business decisions based on oil data.
Codes from course Energy DA
Analyze energy data with Python and Pandas
Data Analysis of Public Energy Data
Forecasting in Energy Markets: Approaches, tools and resources for aspiring analysts
Oil and Gas data repository - includes production, work reports, recompletions and economics
Tutorial on time-series forcasting with scikit-learn
Introduction to Data Science @ FGV
Facies Prediction from Well Log and Drilling Data
Project to develop a machine learning solution using autoregression and forecasting algorithms to predict the nominal price of natural gas in the USA.
(http://ceur-ws.org/Vol-2611/paper2.pdf) Open-domain Event Extraction and Embedding for Natural Gas Market Prediction
Python methods for geoscientists, geochemists and reservoir engineers working in geothermal resources.
Let's explore how publicly-available data provided by the U.S. EPA's GHGRP can be used for energy analysis.
SPE Calgary Data Science Mentorship program 2021
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
Dataset from UK Oil and Gas Authority (OGA) for all Oil and Gas Production data 1975-2021
HeavyDB (formerly OmniSciDB)
This is a project on the modelling of energy market(Natural gas price process) by polynomial process
Repostiory for the FRI Energy Analytics final project
Python tutorial on machine learning with time series for DSSGx 2020
Introduction to sktime: A Unified Framework for Machine Learning with Time Series
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Material for KAUST and Iraya's virtual summer school on Utilising unstructured data in geoscience.
python programming and data science for oil and gas engineers
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.