Gautam Gadipudi's repositories
year-round-orienting
In this lab, you will be generating optimal paths for orienteering during different seasons. In the sport (or "activity", depending on your level of fitness/competitiveness) of orienteering, you are given a map with terrain information, elevation contours, and a set or sequence of locations to visit ("controls"). There is a combination of athletic skills and planning skills required to succeed - a smarter competitor who can figure out the best way to get from point to point may beat out a more athletic competitor who makes poor choices! In this lab, you are given computer-friendly inputs so that you can use an algorithm to determine the best path for you to take depending on your ability.
nodeproject-todo-api
A to-do list API implemented using Node.js and Express.js as the backend, Mocha for testing and MongoDB as a database.
tracky
COLLECT previous frame details for good JSON data using inspect module, and MATCH it against future JSON data to detect errors that would otherwise go unnoticed, or make the program to fail elsewhere.
bd-assignment-7
Frequent itemset mining
bd-assignment-8
Assignment 8 – Clustering
CsvHelper
Library to help reading and writing CSV files
decision-tree
Decision tree code
FIS-HW-3-2
Prolog to find relations among a family
gautam-gadipudi-blog-backend
Personal blog backend.
GautamGadipudi
A brief summary of Gautam Gadipudi
imdb-insertion-tool
A java utility program to dump data of imdb data into a postgresql database.
imdb-mongo
Load IMDB data from relational tables in PostgreSQL to MongoDB collections using NodeJS.
mars-rovers
RIP v2 implementation in java.
N3M3SiS-Football
One site for everything about your favorite football team.
npm-expansions
Send us a pull request by editing expansions.txt
PacketAnalyzer
An application that reads a set of packets and produces a detailed summary of those packets.
py-word-count
Simple program to count words from a file.
shields
Concise, consistent, and legible badges in SVG and raster format
simple-chatting
A simple real time chatting application created while understanding the documentation of socket.io
wiki-language-classification
For this assignment, we will be investigating the use of decision trees and boosted decision stumps to classify text as one of two languages. Specifically, your task is to collect data and train (in several different ways) some decision stumps/trees so that when given a 15 word segment of text from either the English or Dutch Wikipedia, your code will state to the best of its ability which language the text is in.