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Hands-On-Predictive-Analytics-with-Python
This is a simple project on iris flower data set visualisation and prediction using python.
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Hakathon on Gas and Oil + AI held in ITMO University, 05.2021
Data on CO2 and greenhouse gas emissions by Our World in Data
A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.
In the repository you can find the data to be used during the hackathon.
A set of algorithms in Jupyter Notebook with datasets included
Machine Learning Based on Real-Time Geosteering Data. The data is acquired from Volve Fields in Norway. ' The project is published in Society of Petroleum Engineers Journal: Looking Ahead of the Bit Using Surface Drilling and Petrophysical Data: Machine-Learning-Based Real-Time Geosteering in Volve Field. doi:10.2118/199882-PA
Data and Machine Learning Curriculum for Oil, Gas, and Mining
Task was to improve rock type prediction by using labeled core and well log data for one oil and gas field with multiple horizons. We tried using Random Forest, XGBoost, Logistic Regression and SVM. Of all algorithms, when tuned Random Forest gave us the best results.
Data on energy by Our World in Data
Participated in a GeoHackathon organized by SPE in December 2021. Placed in Top Ten from 40 teams participated. Devised a development plan for a Geothermal field using subsurface and surface network data employing data driven methods and incorporating economics.
Files related to our geothermal energy analysis paper and talk
SPE Calgary Data Science Mentorship program 2021
Hackathon of Gazprom Oil
Concurso de SPE Colombia Hackathon 2020
There was a hackathon organized to predict the prices of Oil based on time series analysis.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Condition Monitoring of Heat Exchangers using Machine Learning
Exercises and sample code for an intro to Python for machine learning
Multiphase flow in porous media governs the recovery of subsurface energy including hydrocarbon and geothermal, and their management usually requires intensive simulation runs to quantify subsurface uncertainties and optimize engineering operations, which are often expensive. In this project, we ask you to develop machine-learning-based surrogate m
python programming and data science for oil and gas engineers
Basic Machine Learning implementation with python
Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli
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.