This challenge was designed by Data Science Nigeria specifically for the DSN Bootcamp 2018, which takes place 11-14 October. Welcome to the DSN participants!
After the Bootcamp, this competition will remain open to allow others in the Zindi community to learn and test their skills.
Description of the challenge:
A new Abuja-based online Comedy TV is seeking to optimise its content using customer ratings. Its contents are bought from popular comedy shows that are held in different parts of Nigeria. Therefore, it is important for the company to understand which content makes business sense based on customer ratings. In addition, it desires to offer personalised experience to each online viewer by delivering best comedy content that are most relevant to each viewer in its growing community of online and offline followers.
You have been appointed as the Lead Data Analyst to predict the ratings for some comedy events per individual based on the ratings by the same users for another set of comedy. This will inform its recommendation system.
The dataset contains anonymous ratings between -5 and 5 provided by followers of this comedy online station. Given the combination of user and comedy events, your task is to predict the rating given by that user to other comedy in the test set.
About Data Science Nigeria (www.datasciencenigeria.org):
Data Science Nigeria is a non-profit run and managed by the Data Scientists Network Foundation. Our vision is to accelerate Nigeria’s development through a solution-oriented application of machine learning in solving social/business problems and to galvanize data science knowledge revolution, which can position Nigeria to become the outsourcing hub for international Data Science/Advanced Analytics/Big Data projects, with opportunity to access at least 1% share of the global big data and analytics market, valued at $150b in 2017 ($203b in 2020).
We adopt a practitioner-led model where experienced and hands-on data scientists in Nigeria and in the Diaspora train and mentor young Nigerians through face-to-face, virtual coaching classes, project-based support and holiday boot camps funded by individuals and corporate organizations.