Analyzing credit card transactions using machine learning techniques

Posted on by David Vassallo

Introduction In this 3-part series we'll explore how three machine learning algorithms can help a hypothetical financial analyst explore a real data set of credit card transactions to quickly and easily infer relationships, anomalies and extract useful data. Data Set The data set we'll use in this hypothetical scenario is a real data set released … Continue reading Analyzing credit card transactions using machine learning techniques

Nugget Post: Reactive Functions to parse nested objects

Posted on by David Vassallo

Note this article assumes familiarity with the Observer Pattern / Reactive Programming as described here: http://reactivex.io/ Some APIs return complex nested JSON objects. For example, take this cleaned up sample response from ElasticSearch (which incidentally is used to build the "Data Table" visualization): https://gist.github.com/dvas0004/8f3427955a5bb21213c864d30094d072 Note the structure of the object. Within the top level "aggregations" object … Continue reading Nugget Post: Reactive Functions to parse nested objects