I conducted the research of sentiment analysis/ classification of Tweet regarding covid-19. I’m trying to build a classifier to detect the attitude that each user is trying to rely on based on their text. If the classification method works, it will help not only the social media platform but also social workers to help those in need. It will also provide a tool for regulators to refine current law systems to purify the social network.

What could be the reasons for winning a LOL game? Are they all contributing to the victory significantly? Do these reasons make sense?

The objective of this project is to apply some machine learning algorithms in the prediction of absenteeism at work. The database is the information collected records of absenteeism from work during the period of July/07 to July/2010 in a Courier company.

Performing quantitative analysis and visualize the result is the best way to understand your lifestyle. I chose the credit card year-end summary of my American Express Gold card and trying to find the potential pattern of daily activities.

Nowadays, climate change has risen concerns for people around the globe. Researchers, institutes, companies even individuals have all paid close attention to climate change. Topics vary from global warming, sea-level change, sea ice meltdown to the emission of greenhouse gases. Therefore, I would like to look into 4 aspects of climate change data. I'll be making data visualized and trying to find out the answer to the following four questions: 1. Did the sea ice melt during the past 16 years? 2. Is the city warmer than rural areas? 3. Who emits more CO2, consumption, or production? 4. Is there any anomaly in global temperature?

Stocks with Potential short-term Growth Under Pandemic of COVID-19