Welcome to my Python Project Page!

Table of Content

Introduction

This page contains the selected python projects that I have worked on. I gained a deep understanding of multiple machine learning techniques, web scraping, the usage of relational database and SQL.

Detect fake users on Twitter

Analyzed the Twitter users’ behaviors and developed Random Forest, Logistic Regression and Support Vector Machine models to distinguish the fake/spam accounts from the genuine.

California Travel Guide

Created a travel guide for California visitors by showing them the best hotels, restaurants, and landmarks with the applications of web data processing, interactive data vistualization, natural language processing, and interactive user input using Python.

Project I - Food Composition Dataset

Analyzed the USDA Food Composition Databases and visualized the data using scatter plots, boxplots and heatmap.

Project II - US Department of Agriculture Dataset

Analyzed the US Department of Agriculture dataset and conducted analysis using histograms, scatter plots and boxplots.

Project III - Web Scraping

Conducted web scraping on the articles from The California Aggie Website and used natural language processing to analyze the text.

Project IV - SQLite database & Basemap/Bokeh Charts

Analyzed the SQLite database sf_data.sqlite and used bokeh charts and basemaps to analyze the data.