William Davies

Dr. William Davies is a Postdoctoral research fellow working at the center for pluralist economics. His Ph.D. was focused on utilizing machine data and traditional econometrics techniques to capture the drivers of success for crowdfunding, focusing specifically on the crowdfunding platforms Kickstarter and Kiva. After completing his Ph.D. he has begun to work as Postdoctoral research, where he is responsible for identifying data techniques and tools to assist 50 small to medium-size enterprises as part of an EU-wide initiative. He has also successfully published in the journal of technology forecasting and social change (impact factor 5.846, 2019) in a paper entitled "Signalling experience & reciprocity to temper asymmetric information in crowdfunding evidence from 10,000 projects".

projects by William Davies

Using Graph Networks to Recommend Books to Customers

4 weeks · 4-6 hours per week · BEGINNER

Included with a Manning Online subscription

catalog / Data Science

In this liveProject, you’ll jump into the role of a data scientist working for an online bookstore. Your boss wants you to build a new recommendation system to help the marketing team match customers with a book that suits their interests. As the backbone of this new system, you’ve decided to create a graph network that will plot and analyze the relationship data of your platform’s users. To do this, you’ll need to import your data into pandas and transform it into an edge list, then build a network from the list. Once that’s accomplished, you’ll visualize and analyze the list to check its accuracy before you present your results as a web application that’s easy for the non-technical marketing team to use.

For this liveProject, you’ll be provided with real customer data from manning.com!