Archives of #Graph

Visualising True Positives and False Positives against Features with scikit-learn

Here I’m starting to look into the errors caused in the social media brand disambiguator project. Below I look at true and false positives (correct and mistaken is-a-brand classifications) and plot them against the number of features that two different classifiers can use to calculate their class membership probabilities. First I’m using the default LogisticRegression […]
11 years ago

Semantic map of PyCon2013 Twitter Topics

Maksim taught a lovely Social Graph Analytics course at PyCon the day before I taught Applied Parallel Computing. I took his demo for a “poor mans LDA/LSI analysis” of a Twitter topic (rather than using full LDA it just uses co-incident hashtags) and added usernames to produce the plot below. Update – Analysing #pydata conference […]
11 years ago

£5 App #23 – “Things we built this summer”

Last Tuesday we had our 23rd £5 App event, given that it is only our second event this year we chose to let people “show and tell” about the things they built this summer. We had 9 speakers, I bought the beer, John baked the cakes. Shardcore and the Englightenment Machine Shardcore‘s Enlightenment Machine was […]
13 years ago

Visualising Lanyrd’s social connectivity graph

Over the weekend at BarCampBrighton5 I demonstrated a quick visualisation that Kyran and I built over breakfast in Berlin last Friday. It looks like: To see it yourself open Bar Camp Brighton 5 Visualisation using Chrome or WebKit (it’ll work in Firefox but might be rather slow). It is interactive so it is worth opening, […]
14 years ago