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covid-county-survival

Factors like population, unemployment rate, elderly people rate and mask use rate can be pretty associated with the Covid-19 case rates among US counties. With survival analysis, correlations between factors, event and time surviving can be inferenced

disease-identification

Use Deep Learning Methods to analyze gene based microarray data to make classifcations on diseases, especially cancers, where the model is going to identify cancer stages for different cancers.

experimental-design

Proper experimental design can help us find optimal conditions efficiently. Response surface methodology with central composite design has been applied in this project to find optimal combinations of conditions for expected outcomes

flant

linear-mixed-model

linear mixed models consider covariates with multiple levels, for example, some covariates vary among events, while others may vary from different subjects. In a two-level study such as this one, Level One will refer to variables measured at the most frequently occurring observational unit, while Level Two will refer to variables measured on larger observational units. These factors are considerred to have different levels of impact to each sample event

movie-recommendation

Make recommendations on movies based on popularity, rating, collaborative filtering or NLP contents

stock-algorithmic-trading

Setting up monitor windows to track the stock price movement directions and make prediction on future price movement in a short time.