This project proposed to find the factors that have the most impact stock price changes in US. They use 2 datasets, the COVID data and the market data. They found government policy to be the answer and they did some analysis based on it.
Things I like:
The project topic is very closed to our daily life since a lot of students speculate in stocks and stock price in last year has significant fluctuation due to covid. They have detailed preliminary analysis and feature engineering and displayed in histograms and charts. They used a lot of methods we learn from class such as random forest and control burn, which is appropriate.
Things I think can Improve:
The typesetting design is bit challenging for reader to catch up with their ideas. Some analysis part is a bit confusing due to lack of background introduction of their datasets.
This project proposed to find the factors that have the most impact stock price changes in US. They use 2 datasets, the COVID data and the market data. They found government policy to be the answer and they did some analysis based on it.
Things I like:
The project topic is very closed to our daily life since a lot of students speculate in stocks and stock price in last year has significant fluctuation due to covid. They have detailed preliminary analysis and feature engineering and displayed in histograms and charts. They used a lot of methods we learn from class such as random forest and control burn, which is appropriate.
Things I think can Improve:
The typesetting design is bit challenging for reader to catch up with their ideas. Some analysis part is a bit confusing due to lack of background introduction of their datasets.