UCL Applied AI CW 1

1. encode/pre-process the features

2. deal with potential missing data

3. identify potential models to solve the machine learning task

4. apply them appropriately and interpret the results

Tasks

• Task 1: Dataset description (15%)

• Task 2: Data assembling and initial pre-processing (10%)

• Task 3: Design and build a machine learning pipeline (40%)

• Task 4: Model Interpretation (10%)

• Task 5: Alternative machine learning pipeline (25%)

Submission

• A short-written report (max 3 pages) The report must be in 11-point Arial font and portrait format.

• A second pdf document containing figures presenting your results. They must all be numbered and referred to from the report. Each figure must have a short caption explaining what it is

Todo