Pinned Repositories
2018-fall-main
W266 Student Repository for Fall 2018
207-Applied-Machine-Learning
Materials for UC Berkeley School of Information course Applied Machine Learning
Course-Overview
W200 - Python Bridge Course
cs231n.github.io
Public facing notes page
dealing_with_data
Material that I use for a variety of classes and tutorials
DSW2018-tutorials
Tutorials for GDSO at Berkeley Data Science Workshop
EffectiveTensorflow
TensorFlow tutorials and best practices.
ForecastingWorkshop
Slides for 3-day forecasting workshop
fpp2-package
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.
fsdl-text-recognizer-project
Full Stack Deep Learning Bootcamp Project (Public)
sstorey-nephila's Repositories
sstorey-nephila/ForecastingWorkshop
Slides for 3-day forecasting workshop
sstorey-nephila/2018-fall-main
W266 Student Repository for Fall 2018
sstorey-nephila/207-Applied-Machine-Learning
Materials for UC Berkeley School of Information course Applied Machine Learning
sstorey-nephila/Course-Overview
W200 - Python Bridge Course
sstorey-nephila/cs231n.github.io
Public facing notes page
sstorey-nephila/dealing_with_data
Material that I use for a variety of classes and tutorials
sstorey-nephila/DSW2018-tutorials
Tutorials for GDSO at Berkeley Data Science Workshop
sstorey-nephila/EffectiveTensorflow
TensorFlow tutorials and best practices.
sstorey-nephila/fpp2-package
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" by Rob J Hyndman and George Athanasopoulos. All packages required to run the examples are also loaded.
sstorey-nephila/fsdl-text-recognizer-project
Full Stack Deep Learning Bootcamp Project (Public)
sstorey-nephila/introduction-to-databases
sstorey-nephila/introduction-to-python
Notes for the "Introduction to Programming for Data Science" class
sstorey-nephila/Introductory_Time_Series_with_R_datasets
sstorey-nephila/learn-co-sandbox
sstorey-nephila/Mathematics_For_Machine_Learning
This repository contains code and theory of mathematical concepts required to master Machine Learning
sstorey-nephila/mids_head_start
Resources for coming up to speed on everything necessary to tackle the MIDS curriculum
sstorey-nephila/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
sstorey-nephila/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
sstorey-nephila/python-practice-with-datatypes-data-science-intro-000
sstorey-nephila/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
sstorey-nephila/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
sstorey-nephila/spring_2019_data_mining
Introduction to Data Science
sstorey-nephila/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
sstorey-nephila/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
sstorey-nephila/tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
sstorey-nephila/UMD-courses
Course homepages for courses that I've taught at the University of Maryland
sstorey-nephila/w261-environment