The final coursework is group work, requiring the students to work on a machine learning the problem: machine learning Course Work, UCL, UK

Coursework Aim:

The final coursework is group work, requiring the students to work on a machine learning the problem, that they need to tackle from setting up the data to the evaluation and discussion of the performance of the proposed solution. The aim of the coursework is to show the ability of the student to set up a machine learning processing pipeline, starting from the raw data and ending with a critical appraisal of the results obtained, especially in the light of other works applied on the same set of data, and to present their work thoroughly and professionally.
The work should therefore present all the steps required to prepare and process the data, with a reasoned description of all the relevant choices performed when alternative routes were available.

The expected submission will contain:
1) a journal-style report describing in detail the problem and the proposed solution, and the code used to solve the problem.
2) an additional appraisal of the contributions of the members of the group will be requested, and the final group mark will be adjusted considering each member’s contribution.

Setting up the problem and data for the coursework

The student needs to decide on a suitable topic and the specific question that they would like to solve with a machine learning approach: topic and question need to be discussed with the module leader.

When thinking about a topic, it is of paramount importance that the availability of data for the the analysis is considered and checked.

Some possible problems are described on the module VLE site (under the section “Possible dissertation/project work topics”).