Explain your dataset in detail: source, number and types of attributes: Data Science Coursework, APU, Malaysia
| University | Asia Pacific University (APU) |
| Subject | Data Science |
Write a report of your assignment in Jupyterlab with the following table of contents:
Introduction:
- Explain your dataset in detail: source, number and types of attributes (its meaning and type of data)
- Carry out suitable Exploratory Data Analysis and Visualisation in detail. Explain the patterns/structure/insights that you found.
Discussion & Result:
What is a possible question about the dataset that you’re planning to pursue? Identify and carry out the suitable Machine Learning algorithm to answer your question. Clearly write a report on the performance of the Machine Learning model that you have developed.
Reference:
List all the references used. •Rubric: click on the header: assignment to see the rubric.
cta_questions_1
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