LuisNavarro93

Text-Clustering

Identify all the unique words that appear in the “review/text” field of the reviews in the dataset (http://snap.stanford.edu/data/web-FineFoods.html). Clean the data and remove stopwords then identify top 500 frequent words. Using these 500 words vectorize all reviews. Cluster the vectorized reviews into 10 clusters using k-means. From each centroid, select the top 5 words that represent the centroid (i.e., the words with the highest feature values)

Interpretable-Machine-Learning-with-Python

Interpretable Machine Learning with Python, published by Packt

Machine-Learning-using-Python

Open Machine learning Projects

misc

Coding notes and random stuff.

Petrophysics-Python-Series

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

XE64G10U2R2048-shinyserver-S1P4001

Vagrant virtual machine with a simple script to build the VM running a R Shiny server. VM is VirtualBox.

vagrant-volve-navarro-BI64G20S2JP8201

Reproducible VM Volve field. Machine Learning, Data Science. Vagrant Virtual Machine with VirtualBox.

welly

Welly helps with well loading, wireline logs, log quality, data science

matplot-well-log

Simple well log plotting using Python and matplotlib

CubicEquationSolver

Python Script to find the roots of a Cubic Equation

python-bootcamp-for-geoengineers

Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

yongks-python-rmarkdown-book

A Python book written in Rmarkdown. Author yongks

fastbook

The fastai book, published as Jupyter Notebooks

ml-andrew-wk1

Python implementation of Univariate Linear Regression using Gradient Descent

MachineLearningStudyGroup

Materials from the London Machine Learning Study Group Meetups

well_profile

The python tool for well trajectories

Oil-and-Gas-data-analysis

petrodc

Petroleum Data Collector

PEG_Python

Petroleum Engineering and Geosciences exercises in Python

Python

All Algorithms implemented in Python

flownet

FlowNet - Data-Driven Reservoir Predictions

peg_python

MITx_6.86x

Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

mitx-6.86x-machine-learning

Python code written for MIT's Machine Learning course offered on edX

Machine-Learning-with-Python-From-Linear-Models-to-Deep-Learning

This Repository consists of the solutions to various tasks of this course offered by MIT on edX

welltest_eda

Exploratory Data Analysis for production well tests

AnonymizingWellData

Example of anonymizing several columns in a well dataset

python-ml-course

Curso de Introducción a Machine Learning con Python