IT & Data For Abdulrehamn see attached file Project
In this final project, you are expected to leverage what you learned in the class in a group (posted) to test decision tree and neural network algorithms (for classification purposes only) on a dataset of your choice, and compare your results as well as discuss insights you obtained in detail.
Below are links to 2 well-known data repositories but you are free to use other sources as well:
· CMU Archive
· UCI Archive
Once you select a dataset, you are expected to study and gather information about the problem domain, transform the data as appropriate, divide the dataset for training and testing purposes, and train decision tree and neural network models that can classify new cases.
After you obtain these models, write a report summarizing the steps you took including your results and a discussion of those results. The report should, at minimum, present the following in 7-8 pages max. excluding figures and references.
1. Problem statement / Background
2. Introduction to the dataset
4. Results and Discussion
Deliverables: The response to this individual assignment will be submitted in .docx or .pdf format. One submission per group is sufficient.