CT051 - Data Management - IT Assignment Help

Assignment Task

LEARNING OUTCOMES

1. Evaluate the various data types, data storage systems and associated techniques for indexing and retrieving data.

2. Design feature engineering techniques to transform transactional data into meaningful inputs in order to create a predictive model.

3. Propose a suitable approach to designing a data warehouse to store and process large datasets.

DATA MANAGEMENT

The machine learning pipeline involves several tasks before the development of a predictive/descriptive models. The inevitable and vital process includes preparing and understanding the data. Moreover, the performance of the predictive/descriptive model depends on the choice of pre-processing techniques. For the assignment, you are required to prepare and explore the given dataset. It is imperative to explain and justify the pre-processing, transformation, and feature engineering techniques that have been chosen. Your analysis should be deep and in detail, also it must go further than what has already been covered in this course.
The assignment should involve a number of experiments, and a detailed exploration and analysis of the results using SAS Studio, Visual Analytics Tools (Tableau) and other relevant tools if necessary

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