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Sami Elkurdy's Projects

bokeh icon bokeh

Interactive Web Plotting for Python

catboost icon catboost

CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

dat4 icon dat4

General Assembly's Data Science course in Washington, DC

dat8 icon dat8

General Assembly's Data Science course in Washington, DC

docopt icon docopt

Pythonic command line arguments parser, that will make you smile

econstants icon econstants

Computation of elastic constants and anisotropy from logs

hhtattributes icon hhtattributes

Generate attributes from Hilbert Huang Transform (aka Empirical Mode Decomposition)

iip-machine-learning icon iip-machine-learning

In this notebook, we will learn the step-by-step procedures on how to preprocess and prepare image datasets to extract quantifiable features for a machine learning algorithm. Functions like morphological operations and regionprops will be used.

interpret icon interpret

Fit interpretable models. Explain blackbox machine learning.

materials icon materials

Bonus materials, exercises, and example projects for our Python tutorials

mlseistolog icon mlseistolog

Transform seismic segy to logs using Machine Learning

phaseattrib icon phaseattrib

Phase attribute that correlates with gamma ray logs to detect depositional sequences

porosityprobabilityfromai icon porosityprobabilityfromai

Computing probabilities from well xplot of porosity vs AI for a segy AI volume generating P10, P50, & P90 segy

practical-machine-learning-with-python icon practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

pseudogr icon pseudogr

Generate pseudo gamma ray logs from crossplotting acoustic vs shear impedance

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