Data analysis

Develop strategies, incorporating basic programming skills (input / output and basic data structures)

for identifying and handling missing and out-of-range data.

(linked to PLO 4)

2. Programmatically implement graphical methods to identify issues within a data set (missing, out of

range, dirty data)

(linked to PLO 2, PLO 3)

3. Engineer new features selection in data with the goal of improving the performance of machine

learning models.

(linked to PLO 2, PLO 4)

4. Perform a critical analysis of a data set to optimise the data for a given problem space. Document the

rationale behind the decisions to peers and stakeholders.

(linked to PLO 1,PLO 3, PLO 6)

Навыки: Machine Learning (ML), Обработка данных

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ID проекта: #31860683

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