te-565
Data ninja, beer drinker, do-er of stupid things and occasional data scientist, hacker and web developer.
Department of TransportLondon, UK
Pinned Repositories
apache-beam-jupyter-notebook
☄️ A simple Apache Beam pipeline running in a Jupyter Notebook
conda_container
Template for a conda project
covid-19-data
Links to various COVID-19 resources, APIs and datasets
cycle-safety
dask-presentation
Turbocharge your Data Science workflow with Dask!
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
ds-fs
Repo to hold my code for general data science and stats techniques
dsf-geo-presentation
Code and useful stuff to support my Data Science Festival presentation on 04/04/2020.
python-for-analysts
A Python for Analysts Training course
time-series-in-python-supplement
Speaker notes and additional resources for the Python Time Series course
te-565's Repositories
te-565/cycle-safety
te-565/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
te-565/github-workshop
te-565/intro2stats
Introduction to Statistics using Python
te-565/baleen
Entity Extraction Text Processor
te-565/Blank-project
Blank Web Dev project
te-565/dft-app
The DfT data visualisation web application.
te-565/django-tutorial
te-565/EnergyAnalysisWithPandas
Analyze energy data with Python and Pandas
te-565/Gaffer
A large-scale graph database
te-565/govuk-lda-tagger
An experiment of using the LDA machine learning algorithm to generate topics from documents and tag them with those topics
te-565/Handlebars
Handlebars Examples
te-565/interactive_maps_template
A generic template for creating interactive maps in d3 and leaflet
te-565/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
te-565/Pydata-London-2016
Best bits fro PyData London 2016
te-565/RAP-demo-md
⚠️ Prototype of a Reproducible Analytical Pipeline (RAP) using markdown
te-565/RAP-docker
Docker container for building reproducible analytical pipelines (RAP)
te-565/sentiment-process
Sentiment processor to extract features from text
te-565/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
te-565/WeFarm
WeFarm datadive work