timdaviesatco,Tim Davies,github

02-getting-to-know-the-tools

Core skills program - week 2 - Getting to know the tools, data munging and exploratory data analytics

03-simple-predictions

Core skills program - week 3 - Simple predictions, regression and statistical model building

04-multivariate-analysis

Core skills program - week 4 - multivariate analysis and dimensionality reduction

05-data-storytelling

Core skills program - week 5 - data storytelling, data ethics and advanced visualisation & communication

06-machine-learning

Core skills program - week 6 - Introduction to machine learning for data fusion

07-deep-learning

Core skills program - week 7 - Introduction to neural networks and deep learning

08-time-network-analysis

Core skills program - week 8 - Process predictions and optimisation over time

09-data-fusion-sandbox

Core skills program - week 9 - Consolidation week - try things out for yourself

10-text-processing

Core skills program - week 10 - Finding needles in wordstacks: natural language processing and text mining

11-spatial-data

Core skills program - week 11 - Spatial analytics and predictions

analysers

SAP Analysis Tools

base-conda-image

Base Docker image for deploying notebooks - includes some basic packages so we aren't building from scratch

binderhub

Deployment code for our Binderhub

core-skills

Core Skills - Geoscientist to Data Scientist 12 week program

core-skills.github.io

Core skills participant info website

denon-rest-api

A REST front-end for controlling Denon receivers

download-from-ftp

Download all files from ftp server

fiblary

Fiblary is a Python module wrapping Fibaro Home Center REST API

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hc2-scenes

Fibaro Home Centre 2 Scenes written in LUA

imageai

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

imutils

A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.