Peer Review - fx43

[emilyxia]

Summary: This project studies the factors that influence the turnover rate in the companies. The data they are using is Kaggle HR-Analytics dataset. Their objective is to predict the to-leave decision of the employers from the given factors within the dataset.

Three things you like about the proposal:

1. The project has an obvious significant background in studying the factors influencing employees' choices.
2. The project considers factors from the employees' side.
3. The project has clear labels so supervised learning will be practical.

Three areas for improvement:

1. The question the project proposed is too large that the dataset may not cover the entire picture of the question. For example, different industries have different factors influencing the turnover rates. Sometimes, it is the company's performance that makes the turnover rate changes over time. These factors may need to be taken into account.
2. The result of the project may not reveal the actual factors for why people leave. As the HR may not receive the genuine response/feedback from the previous employees of why they left. The team need to consider the quality of the dataset for the study to make sure it can address the concern.
3. More specific analysis techniques such as the logistic regression can be mentioned for a baseline case and others as comparison. So that the proposal will become more concrete and well-planned.

[silviaruiz44]

Thank you for your feedback!