In this notebook we’ll be creating a feature to identify which news articles contain references to a certain semantic idea. We could do this for any idea/concept e.g. Resignation, War, Earthquakes, Corona Virus! For the sake of this example we’re just going to pick one topic: ‘war in the middle east’ that we hypothesise might be predictive of oil prices
This article refers to a problem in Quant-Quest’s Uk Data Science Varsity and Asia Invitational competition. You can view the problems and code along here Introduction There are several approaches to text building text summarises. Broadly, they can be split into two groups defined by the type of output they Read more…
Prediction Sample Approach This article refers to a problem on Auquan’s platform. To follow along check out the details here: https://quant-quest.com/competitions/uk-data-science-varsity Introduction In our first sample approach for this competition, we’re going to take a look at how you might go about tackling a prediction problem. The aim isn’t going to Read more…
In this approach, I will be talking about a problem posted on the Auquan website. Go here to view the problem and code along: quant-quest.com/competitions/uk-data-science-varsity If you want to get more detail on the deap implementation head to:https://deap.readthedocs.io/en/master/ Introduction There are many ways to solve optimisation problems and this is Read more…
What is ESG Investing? Participants in our latest challenge are competing to see if ESG factors improve the ability of a model to predict long term upswings in a companies valuation. See the competition here. ESG investing is a type of responsible investing that is gaining a lot of traction as Read more…
n this article, I will be detailing an approach to a competition on Auquan’s website called the Ethical Investing Challenge — see here for more details This article also presumes a certain level of knowledge about time series data. If you haven’t worked with time series much, take a look at Read more…