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-hands-on-predictive-analytics-with-python

Hands-On-Predictive-Analytics-with-Python

-iris-flower-dataset-visualization-and-prediction-with-scipy

This is a simple project on iris flower data set visualisation and prediction using python.

2018-machinelearning-lectures-esa

Machine Learning Lectures at the European Space Agency (ESA) in 2018

2020-duc-datathon-bootcamp-scottm

applied-ai-itmo-hackathon

Hakathon on Gas and Oil + AI held in ITMO University, 05.2021

co2-data

Data on CO2 and greenhouse gas emissions by Our World in Data

daily-dose-of-data-science

A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.

data

In the repository you can find the data to be used during the hackathon.

data-science-jupyter-notebooks

A set of algorithms in Jupyter Notebook with datasets included

dataanalyticsforengineering

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

deep_ml_curriculum

Data and Machine Learning Curriculum for Oil, Gas, and Mining

eestec_ml_hackathon

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.

energy-data

Data on energy by Our World in Data

geohackathon_spe_2021

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.

geothermal

Files related to our geothermal energy analysis paper and talk

glowing-waffle

SPE Calgary Data Science Mentorship program 2021

gpn_hackathon

Hackathon of Gazprom Oil

hackathon

Concurso de SPE Colombia Hackathon 2020

hackathon-oil-price-prediction

There was a hackathon organized to predict the prices of Oil based on time series analysis.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

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.

handson-ml3

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.

heat-exchangers-ml-master-thesis

Condition Monitoring of Heat Exchangers using Machine Learning

https-github.com-3springs-deep_ml_curriculum

intro-to-python-for-ml

Exercises and sample code for an intro to Python for machine learning

kaust-hackathon-energyharvest

kaust-hackathon-in-geoscience

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

koea

python programming and data science for oil and gas engineers

machine-learning-implemetation-python

Basic Machine Learning implementation with python

machine-learning-oil-gas-industry

Source Code for 'Machine Learning in the Oil and Gas Industry' by Yogendra Narayan Pandey, Ayush Rastogi, Sribharath Kainkaryam, Srimoyee Bhattacharya, and Luigi Saputelli