Gary Zhang's Projects
九章算法事例及分类
100+ python programming exercise problem discussed ,explained and solved in different ways
Answers to 120 commonly asked data science interview questions.
准备数据结构、算法时做过的题 题目包含:基础数据结构,算法,大公司笔试真题,牛客算法题,lintcode,九章算法,《剑指Offer》,左程云《程序员代码面试指南》
Note on Algorithms. View using MathJax Plugin for Github extension for Chrome.
Puran's notes of Algorithms-and-Data-Structures-in-Python
Angular Full Stack project built using Angular, Express, Mongoose and Node. Whole stack in TypeScript.
An enterprise-class UI design language and React UI library
Apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into dat
A curated list of tech stacks for building different applications & features
Note on AWS tools
Free resources for learning Full Stack Web Development
All my projects on Big Data are provided
Bootcamp/Specialization on Data Science topics (Machine Learning, Deep Learning, Big Data Computing, Automation, Web Development, Algorithms, Database)
Bypass Paywalls web browser extension for Chrome and Firefox.
Programming Languages and Techniques (Python & Java)
A resource for students to accompany CIT-594 (Data Structures & Software Design)
My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.
A complete computer science study plan to become a software engineer.
Makes use of python3 and bs4 to scrape historical cryptocurrency prices, volume and market caps from coinmarketcap.com
:mortar_board: Path to a free self-taught education in Computer Science!
JHU data science specialization
Script for downloading Coursera.org videos and naming them.
Repo for coursera course, Machine Learning by Andrew Ng
Stanford University - Machine Learning by Andrew Ng
Notes from the R programming Coursera course
Cracking the Coding Interview 6th Ed. Solutions
Customer Relationship Management (CRM) Database Web App with Java, Spring MVC, Hibernate
Data mining techniques for both structured data which conform to a clearly defined schema, and unstructured data which exist in the form of natural language text. Specific course topics include pattern discovery, clustering, text retrieval, text mining and analytics, and data visualization. The Capstone project task is to solve real-world data mining challenges using a restaurant review data set from Yelp.