Airbnb House Data Analysis

PCA result

In this project, I use some classical data analysis methods to analyze the housing data from Airbnb New York. The methods includes Principal component analysis (PCA), K-Means, Self-orgnizaing Map and so on.

Please read the report for detailed information.

Yidong Fang
Yidong Fang
Software Engineer

Yidong Fang get his bachalor degree in Computer Science from Southern University of Science and Technology. During Undergrad, he has done some intensive research work in Computer Science during his intern in UCLA and Tencent. He has also interned at Dell EMC during his graduate study in UW-Madison. He is currently an experienced software engineer at Bloomberg L.P..