I wrote up some PyMC3 examples on my Github – this includes some Bayesian Logistic Regression and some classical examples of conversion modelling.
I wrote up some Pandas examples on my github using some of the new features and time series analysis – lots of this isn’t new or original and it needs some editing.
My series of Interviews with Data Scientists is ongoing, on this blog and on Dataconomy. This has been more successful and interesting than I imagined. This resource is of use to any stakeholders working with data scientists or engineers and to practitioners themselves.
I have a paper submitted to the EuroSciPy Proceedings, I’ll put a link up once it is published on the Arxiv
I wrote up some notes on Make It Stick which was an excellent book on successful learning.
I wrote up some Natural Language Processing and Text Analytics code based on a corpus I created from my Interviews. It is available here – pull requests and remarks are useful.
A blast from the past: I wanted to draw attention to some code I wrote a few years ago – probably during my Masters in Mathematics on modelling Stochastic Processes and Options Pricing