Ahmed Khairy Gadelkarim's starred repositories
AI-Practitioner_Talent_Transformation_Week
AI Practitioner - Talent Transformation Week
ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Data-Science-Roadmap
Data Science Roadmap from A to Z
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
tutorials-2014
Geophysical Tutorials for 2014
ExcelNumericalDemos
A set of numerical demonstrations in Excel to assist with teaching / learning concepts in probability, statistics, spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz
GeostatsLectures
(Geo)statistical course materials released for anyone to use (.pdf format). Enjoy! I'm happy to discuss.
GeoDataSets
Synthetic datasets for geoscience (geo)statistical modeling
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
MachineLearningCourse
My graduate level machine learning course, including student machine learning projects.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Jupyter-Notebooks_for-Characterization-of-a-New-Open-Source-Carbonate-Reservoir-Benchmarking-Case-St
We have used the new hierarchical carbonate reservoir benchmarking case study created by Costa Gomes J, Geiger S, Arnold D to be used for reservoir characterization, uncertainty quantification and history matching.
MLGuideNotebooks
Collection of notebooks I made to illustrate some machine learning concepts and models in this repo, most of the models in this repo are built once from scratch and once using built-in models from libraries like sklearn.
MLgeoscience
Teaching material for ML in Geoscience course
Machine-Learning-Workflow-with-Python
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
tutorials-2015
Geophysical Tutorials for 2015
Lithology_Prediction_Deep_Learning
In this work, we will use Force2020 well data to employ Deep Learning for lithology prediction
CNN-for-ASI
Tutorial: Convolutional Neural Networks for Automated Seismic Interpretation
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.
Machine-Learning-Competition-2020
SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis
formation-evaluation
Python utility for formation evaluation and petrophysical analysis support
Data-Science-Competitions
My zindi competition notebooks
Well_log_Prediction
Prediction of Equinor Volve well logs Data
Basic-Well-Log-Interpretation
Basic Well Log Interpretation with python, pandas, matplotlib