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
cs231n.github.io
Public facing notes page
DSW2018-tutorials
Tutorials for GDSO at Berkeley Data Science Workshop
EffectiveTensorflow
TensorFlow 1.x and 2.x 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 August 2018 Bootcamp Project (Public)
introduction-to-databases
ce88888's Repositories
ce88888/WTFProject
ce88888/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
ce88888/tensorflow-without-a-phd
A crash course in six episodes for software developers who want to become machine learning practitioners.
ce88888/w261-environment
ce88888/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
ce88888/introduction-to-python
Notes for the "Introduction to Programming for Data Science" class
ce88888/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
ce88888/introduction-to-databases
ce88888/cs231n.github.io
Public facing notes page
ce88888/python-practice-with-datatypes-data-science-intro-000
ce88888/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
ce88888/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
ce88888/EffectiveTensorflow
TensorFlow 1.x and 2.x tutorials and best practices.
ce88888/spring_2019_data_mining
Introduction to Data Science
ce88888/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
ce88888/2018-fall-main
W266 Student Repository for Fall 2018
ce88888/207-Applied-Machine-Learning
Materials for UC Berkeley School of Information course Applied Machine Learning
ce88888/fsdl-text-recognizer-project
Full Stack Deep Learning August 2018 Bootcamp Project (Public)
ce88888/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.
ce88888/mids_head_start
Resources for coming up to speed on everything necessary to tackle the MIDS curriculum
ce88888/ForecastingWorkshop
Slides for 3-day forecasting workshop
ce88888/DSW2018-tutorials
Tutorials for GDSO at Berkeley Data Science Workshop
ce88888/Mathematics_For_Machine_Learning
This repository contains code and theory of mathematical concepts required to master Machine Learning
ce88888/Introductory_Time_Series_with_R_datasets
ce88888/Course-Overview
ce88888/UMD-courses
Course homepages for courses that I've taught at the University of Maryland