Project Presentation Video Please record and upload your project presentation video to the Panopto folder (Tools-> Panopto-> Project Presentation) by August 23rd. The video name should containthegroup...

Please record and upload your project presentation video to the Panopto folder (Tools-> Panopto-> Project Presentation) by August 23rd. The video name should containthegroup nameandtheproject name. There is no time requirement for the presentation. However, the ideal duration will be under 15 mins. Presenter(s) also need to answer questions on the discussion board. The presentation grade will be determined by the peer reviews. Please seeProject Presentation Rubricfor detail. The video should include the content shown below:

• Problem description and the current state of the domain:Define the business problem(s) you want to investigate using the dataset. Also, briefly describe existing work or what others have done in this domain.


• Dataset description: origin, data points, variables:Your data set should contain minimally 5,000 data points after preprocessing. Describe its origin, the number of variables (at least 5), names or description of variables, and descriptive statistics for your data (e.g., mean, standard deviation, min, max,etc.)


• Data preprocessing activities and results:Describe your data preprocessing activities. Describe the data transformations made, the rationale behind them, and the results with descriptive statistics. You need to show descriptive data that shows WHY you will preprocess your data as claimed. Then briefly describe the transformations you made, their rationale, and the transformation results with descriptive statistics.


• Algorithms used and rationale:Describe your data mining approach. Which algorithms did you use, which variables, and why? Show details of the algorithm, such as the parameters used and the model illustrations (equations or plots).ORIntended algorithms to be used and rationale:Describe your data mining approach. Which algorithms do you plan to use, with which variables, and why? (The algorithms can be improved in the final report.)


• Preliminary analysis and results:Show the details of your preliminary analysis and the results. The analysis is based on a smaller dataset or a subset of variables, or both. The goal is to show that your project has a good chance of being successful.