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VirginiaPerez's Projects

andrewng_ml_python_assignments icon andrewng_ml_python_assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

apprentissage icon apprentissage

Science des Données Saison 3: Apprentissage Automatique / Statistique pour l'Intelligence Artificielle

carbon-capture-and-storage icon carbon-capture-and-storage

Integration of reservoir simulation, rock physics, seismic modeling, & geomechanics for CCS monitoring. Originally my BSc thesis and will be presented in EAGE 2020 Amsterdam.

data-retriever icon data-retriever

An api to query different query engine such as impala or postgresql and output data formated for highcharts

data_vis_statistics_geosciences_test icon data_vis_statistics_geosciences_test

This repository contains the laboratory portion of an upper level undergraduate class in Python on data visualization and statistics for geo & space scientists. Labs are updated when the course is in session through the most recent branch. See master version for current class.

evidently icon evidently

Interactive reports to analyze machine learning models during validation or production monitoring.

fes icon fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

fizzbuzzrepositorybyvp icon fizzbuzzrepositorybyvp

FizzBuzz: Exercise for Unit Test from DevOps formation at ESTIA. Write a short program that prints each number from 1 to 100 on a new line. For each multiple of 3, print "Fizz" instead of the number. For each multiple of 5, print "Buzz" instead of the number. For numbers which are multiples of both 3 and 5, print "FizzBuzz" instead of the number.

geomechanicsjupyter icon geomechanicsjupyter

This repository contain notes and python files that exemplify applications of geomechanics

ghost-cms icon ghost-cms

Ce repo est utilisé dans l'activité du cours Optimisez vos déploiements en créant des conteneurs avec Docker

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