Kevin Feng's repositories
ohmyzsh
🙃 A delightful community-driven (with nearly 1,500 contributors) framework for managing your zsh configuration. Includes 200+ optional plugins (rails, git, OSX, hub, capistrano, brew, ant, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
airbnb-ridicUs
A collection of some unbelievable stories happened in Airbnb
awesone
Website Pages Collections
Ultimate-Facebook-Scraper
🔥 A bot which scrapes almost everything about a Facebook user's profile including all public posts/statuses available on the user's timeline, uploaded photos, tagged photos, videos, friends list and their profile photos (including Followers, Following, Work Friends, College Friends etc).
meiyouxiangfa
- the purpose is to study
research_app
The research app for Marketing
instagram_scrape
instagram scrape
wifi-hacker
Shell Script For Attacking Wireless Connections Using Built-In Kali Tools. Supports All Securities (WEP, WPS, WPA, WPA2)
Facebook-Page-Crawler
A Python crawler uses Facebook Graph API to crawling fan page's public posts, comments, and reactions.
my-app
personal blog
CapitalList
A collection of Chinese Capital
Interview
Pre for interview
Tower-of-Hanoi-JavaScript
⛩ Tower of Hanoi, a mathematical game. Realized with draggable HTML Elements and Buttons 🏯
MARK3054
Marketing Analysis
IELTS
Preparation For IELTS
Xin-Yue
岳昕：致北大师生与北大外国语学院的一封公开信
ad_response_tutorial
This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribution models. By applying these methods to the same (synthetic) data set, users will learn how the methods compare. We also illustrate the data manipulation that is required to prepare typical raw advertising data for analysis. Examples are worked in R and slides are provided in LaTeX.
hw3
comp9444 assignment 3 - deep reinforcement learning
Myblog
Building the next iteration for my blog using python flask
login
flask-login