Web blog (Python, Google AppEngine, Webapp2, HTML, CSS, SQL)
• Built a web blog with sign up/in usinghashing to securely read and transmit user passwords.
• Generated data in JSON formats and added astatic google map, and marked the ip address.
• Added memcache to blog and display the timeof accessing the database.
• Developed an interactive resumeapplication that reads resume contents from a JSON file and dynamically
displays the content.
• Contained a google map which candisplay and mark the locations mentioned in the resume.
Web Searching Engine (Python)
• Built a web-search engine including webcrawler, building on index and ranking page.
• Implemented a ranked page crawler algorithmfor higher accuracy.
Analyzing Big Data Set (Python, Hadoop, MapReduce)
• Analyzed Udacity student discussion forumto get the hours of most posts by student.
• Wrote a MapReduce program that output thelength of the post and the average answer length for each post.
• Wrote a MapReduce program that output theTop 10 tags ordered by the number of questions.
• Implemented decision tree inductionalgorithm for classification.
• Implemented three selectionmeasures, information gain, gain ratio and gini index to choose splitting attribute.
• Verified and compared the accuracyof this algorithm with three different selection measures.
Mining FrequentItem Sets (C++)
• Implemented the frequent pattern(FP) growth algorithm for mining frequent item sets.
• Constructed frequent item setsthrough FP-tree and condition FP-tree for the items in frequent item sets.