GA C-Londono's starred repositories
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
lecture_figures
Figures for lectures in oceanography
intro_to_physical_oceanography
Course materials for Introduction to Introduction to Physical Oceanography (EESC4925)
the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix
mlcourse.ai
Open Machine Learning Course
free-python-books
Python books free to read online or download
dlbook_exercises
Exercises for the Deep Learning textbook at www.deeplearningbook.org
deep_complex_networks
Implementation related to the Deep Complex Networks
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
openintro-statistics-slides
👩🏻🏫 Slides for OpenIntro Statistics
GeostatsPy
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatistics in a Python package. Now with many additional methods. I hope this resources is helpful, Prof. Michael Pyrcz
GeostatsPy_Intro_Course
Introduction to spatial data analytics and machine learning with GeostatsPy Python package
PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.