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aws-serverless-workshops

Code and walkthrough labs to set up serverless applications for Wild Rydes workshops

azure-tdsp-projecttemplate

Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

azure-tdsp-utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

bokeh-notebooks

Interactive Web Plotting with Bokeh in IPython notebook

books

brunel

Brunel Visualization

clickstream-analysis

A scratchpad to aggregate some clickstream code for the team. Should go private when we deal with more proprietary stuff.

clickstreamanalysis

Analyzing Clickstream Data using Markov Chains and data mining SPACE algorithm

consensusclustering

Shiny application implementing Consensus Clustering for various clustering algorithms.

conversation-simple

A simple sample application demonstrating the conversation api.

conversation-with-discovery

This application demonstrates the combination of the IBM Watson Conversation and Discovery services.

cortex

Deploy your machine learning models to your cloud infrastructure - https://cortex.dev

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

dask-tutorial

Dask tutorial

data-science--cheat-sheet

Cheat Sheets

dataaspirant_codes

Complete machine learning model codes

datascienceandr

R語言翻轉教室

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dofordsx-marketingcampaigns-example

etc3550slides

Slides for a forecasting course based on fpp2

forecasting_with_r_practices

Forecast using R language. The problems are from 'Forecasting: Principles and Practice(2nd ed.)'.

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.

imagenet18_old

Code to reproduce "imagenet in 18 minutes" DAWN-benchmark entry

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

ipythontheanotutorials

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

islr_python

An Introduction to Statistical Learning with Applications in R... with Python