[SOLVED] R algorithm Final Project Guideline

Final Project Guideline
Total Points: 45% of the overall class grade

Objective: The goal of this assignment is developing a data driven project by employing machine learning algorithms to analysis real datasets. Projects needs the steps specified in CRISP-DM: https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_miningThis project provides a deep and practical understanding of the analytics concepts, and processes that taught in this class.
Deliverables:
Item
Description
Due Date
1
Project Proposal (10%)
Oct/10/2019
2
Written Report (30%)
Including: literature review, data description, analysis, and collusions
Dec/03/2019
3
Jupyter Notebook (50%)
Dec/03/2019
4
Presentation (10%: in-class or through a YouTube video)
If you are able to present in class, you do not have to submit a YouTube video.
Dec/04/2019

Project Report: The final project report should be in a professional format and the content should be built on the proposal. A good final report presents different components of the project proposal in detail, contributions of the author, and the future work that can be done to expand it.
Jupyter Notebook: It should demonstrate all the steps you performed to get the results. It may include not limited to:
YouTube Video
Data Description
Data Cleaning and Preparation
Modeling
Performance Evaluation
Steps for improving the performance
Showing evidence of over-fitting/non over-fitting in your model
Analysis of figures and results
Business suggestion (based on your analysis what is your business recommendation?)
.

If you use R for programming, you should show your results in a Jupyter Notebook and submit your R file, too.

Presentation: 5-10 minutes presentation in class or by a YouTube video.