key instructions include;
1. The report should answer these key areas,
• Recognise and identify performance patterns and trends that will help the
organisation and clients.
• Give effective decision making strategies for the company.
• Forecast and predict unsolicited events for e.g. failure or required methods
• Build a predictive model using client visits data on a website.
2. Use the link below to get some reference of sample dataset;
https://archive.ics.uci.edu/ml/datasets/Online+Shoppers+Purchasing+Intention+Dataset
3. key Objective: To construct a predictive model and analysis to choose whether the
customer will buy or not.
4. Demostrate knowlegde of subject domain with Python programming language for graphical representation of data patterns
5. Report format a) abstract (summary of motivation)
b)introduction (research problem and objective)
c)literature review with some architecture dataset
d)discussion to demostrate understanding of theoretical components
e) conclusion and recommendation
6. citation and referencing – Harvard styling
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