weizhuo xiong home page

Welcome to GitHub Pages

About me

I am currently a master student at UC Davis in Math Statistic and Civil Engineering Department. Before this, I earn my Bachelor degree from Tongji University in China. I have taken part in many machine learning, deep learning competitions, part of those can be find here. If you want to see more, you can go to my GitHub page which is shared at the end of the document. I am correctly doing research on NLP and building ChatBox, and I hope I will work as a Data Scientist or machine learner in the future.

Taken or taking course

1. Data Science Technology (interactive data visualization with Web technology)
2. Advance Statistic Computing (High-performance computing in python)
3. Statistic Method Machine Learning
4. Applied Data Science with Python (coursra)
5. Computer Vision

Project

Deep Learning Project: Satellite Imagery Feature Detection

Kaggle Competition: Dstl Satellite Imagery Feature Detection:

• recognize objects in satellite image and classify them to 10 classes
• U-net
• get image patch and do reflection padding

Machine Learning Project

Kaggle Competition: Zillow’s Home Value Prediction (Zestimate):

• Data preprocess, operate on missing data
• Stacking Regression(Ridge regression, Random Forest, Support Vector Machine)
• XGBOOST
• Neural Network

141B-Final Project： What affect California home price

This project tends to find the relationship between public school rating and racial composition and their influences in home prices. In addition, we examine the relationship between crime occurrence and house price. In the end, we use web scraping to predict the trend of the house price.

Interesting points in San Francisco

This project tried to find out some interesting points in San Francisco, including analysing:

• housing price
• crime data
• noise problem
• food vendor truck

For more details see My GitHub.