INM431 : Machine Learning - A Data Analysis Problem - Engineering Assignment Help

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Assignment Task:

Task:

Introduction
On completing this coursework you should be able to:
1. Specify a Machine Learning (ML) solution to a data analysis problem;
2. Adjust the ML model parameters and explain how ML seeks to solve the problem;
3. Apply, compare and contrast, and critically evaluate two ML models.

The subject of the above learning outcomes follows the lectures and associated materials and exercises.
The ML models to be used should be based on the models presented in the lecture notes.

 

Marking scheme
The coursework (Matlab code, poster and supplementary material) will be marked according to the following criteria. Code: syntactic correctness (5%), organization and clarity of comments (5%), appropriate use and sophistication of methods (15%). Poster: brief description and motivation of the
problem (5%), initial analysis of the data set including basic statistics (5%), brief summary of the two ML models with their pros and cons (5%), hypothesis statement (5%), description of the choice of training and evaluation methodology (5%), choice of parameters and experimental results (10%), analysis and critical evaluation of results (20%), references, lessons learned and future work (5%).

 

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