Ayisedo's repositories
network-analysis
Social Network Analysis and STEM Education is designed to prepare researchers to apply network analysis in order to better understand and improve teaching and learning.
laser-orientation
This learning lab orientation focuses on reproducible research and the data-intensive research workflow and is designed to orient learners to the instructional activities that make up each LASER learning lab.
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.
Geospatial-Fundamentals-in-Python
Introduction to Working with Geospatial Data in Python with Geopandas
datacarpentry.github.io
Data Carpentry website
computational-text-analysis-spring-2019
Computational text analysis for Spring 2019 by Caroline Le Pennec-Caldichoury
BUDS-su20
Materials for the Berkeley Unboxing Data Science (BUDS) summer 2020 program.
test
test repository
PySyft
A library for encrypted, privacy preserving machine learning
visualization-with-python
Materials for the D-Lab's visualization workshop
computer_voila
fastai coursework
python-fundamentals
Introductory Python Series for UC Berkeley's D-Lab
WWCodeDataScience
Content, Code & Resources for WWCodeDataScience Events https://www.womenwhocode.com/datascience
fastpages
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
fastai2
Temporary home for fastai v2 while it's being developed
fastbook
Draft of the fastai book
python-docs-hello-world
A simple python application for docs
PythonFundamentalsLiveLessons
Example code for Our Python Fundamentals LiveLessons Videos