Critically perform various predictive models

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Reference no: EM133867428

Assessment

Assessment type: Data Analysis (Predictive and/or Prescriptive) - Individual Report - 1,000words report (+ 10%)

Purpose: The purpose of this assessment is to assess the student's ability to utilise various analytical tools and critically perform various predictive models using machine learning techniques using the chosen dataset in the context of the specific industry/enterprise and identify opportunities for growth, possible threats, hidden pattern relationships This assessment relates to learning outcome a, b c, d and e.

Topic: Predictive and/or Prescriptive Data Analysis

Task Details:

Using the opportunities and threats identified in Assessment 2, and the data exploration and identified relationships from Assessments 2, students are required to exploit their personal data sets to conduct multiple scenario analysis using various predictive models and machine learning techniques. Prediction, forecast, optimisation of possible outcomes for the effective decision making of the business/enterprise needs to justified to support future leadership decision making pertaining to the PTBS. Get online assignment help now!

Simulation of scenarios to support leadership decision making.

1000-word report outlining all prediction models, machine learning techniques used, parameter optimisations and justification in the context of leadership decision making for the chosen industry/enterprise.

The suggested structure:
1. Cover page (including report title, name and student ID)
2. Brief research into the Predictive/Prescriptive models and Machine Learning techniques.
3. Chosen Software or tool description
4. Discussion on the Analytical findings (Redictive/Prescriptive)
5. Justification of proposed analysis in the context of industry/enterprise, opportunities and growth
6. Relevant Research or case study
7. Bibliography

Word limit: 1,000 words

Harvard (Anglia) style referencing

Reference no: EM133867428

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