Phillip Escandon's Projects
Advanced R: a book
Apero Blog Theme Test from Dr. Alison Presmanes Hill https://github.com/apreshill?tab=repositories
:memo: An awesome Data Science repository to learn and apply for real world problems.
Big Data Analytics - Spark and Machine Learning Examples
š A selection of minimal examples used to highlight R Markdown templates, as referred to in the "R Markdown Definitive Guide"
RStudio Cheat Sheets
Essential Cheat Sheets for deep learning and machine learning researchers
Deep Learning for Coders, 2020, the website
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Data and code behind the articles and graphics at FiveThirtyEight
Data Science Using Python
Code Companion to Joel Grus' book
Coursera Data Science Tool box
The Leek group guide to data sharing
Phils development template based on the awesome fastai/nbdev_template
The fastai deep learning library
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
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.
Hannah's Blog
A set of nice Quarto templates
eXtremely Minimal Hugo theme: about 150 lines of code in total, including HTML and CSS (with no dependencies)
A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.
IPSUR, Introduction to Probability and Statistics Using R, is a textbook written for an undergraduate course in probability and statistics. IPSUR is FREE, in the GNU sense of the word.
IPython widgets for the Jupyter Notebook
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent