Mohammed Abu El Majd's repositories
Altair-used-to-Interrogate-Petrophysical-Well-log-data
In this repository we interrogate petrophysical log data using Python's Interactive Altair
bb-ml
FORCE Hackathon: Biostratigraphy By ML
Carbonates-Estimate-Petrophysical-Rock-Types-PRT-from-normalized-core-data-using-KNN
Predict Petrophysical Rock Types (PRT) using KNN
Create-Thin-Section-Image-Labels-for-Semantic-Segmentation-Training
This is an example of creating labeled images to be used in Keras image-segmentation training
data-science-from-scratch
code for Data Science From Scratch book
datasciencecoursera
First project in Johns Hopkins University Data Science Specialization, this repo related to The Data Scientist’s Toolbox Course
Exp_data_analysis_proj_one
This assignment uses data from the UC Irvine Machine Learning Repository, a popular repository for machine learning datasets. In particular, we will be using the “Individual household electric power consumption Data Set” which I have made available on the course web site: Dataset: Electric power consumption [20Mb] Description: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.
Geoscience
Coding Geosciences
machine-predicted-lithology
FORCE Competition : Create a machine learning model that has the highest accuracy in prediction lithology from a suite of wireline logs
Machine_Learning_for_Lithology_Prediction_from_Well_Logs
Using geophysical well logs to predict lithology
ML-Challenge-Feb-March-2021
Final submissions
open-geoscience-repository
Open geoscience datasets available in open databases from Google Drive, SEG Wiki, and US DoE Geothermal Data Repository OpenEi
Petrophysics-Python-Series
A series of Jupyter notebooks showing how to load well log and petrophysical data in python.
Principles-of-Machine-Learning-Python
Principles of Machine Learning Python
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
python-bootcamp-for-geoengineers
Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US
python-oop-course
My notes from Udemy's Python OOP course
PythonDataAnalysisCookbook
Python Data Analysis Cookbook, published by Packt
RockTypeClassification
Well Log analysis from Exploratory Data Analysis to Rock Typing using Unsupervised Machine Learning
Semantic-Segmentation-of-Petrographic-Thin-Sections-using-Keras
This repository was inspired from Divam Gupta's GitHub repository on Image Segmentation Keras
wear-computing
The purpose of this project is to demonstrate your ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. You will be graded by your peers on a series of yes/no questions related to the project. You will be required to submit: 1) a tidy data set as described below, 2) a link to a Github repository with your script for performing the analysis, and 3) a code book that describes the variables, the data, and any transformations or work that you performed to clean up the data called CodeBook.md. You should also include a README.md in the repo with your scripts. This repo explains how all of the scripts work and how they are connected.