Shubham617/lkm
Linux Kernel Module
Linux Kernel Module
Used various reinforcement learning techniques to determine the optimal policy for travelling throughout the Grid World
Implemented various ML models from scratch in Python (absolute zero use of sklearn)
Used Markov Chain Building algorithms to make predictive textual suggestions
Implemented the popular LRU (Least Recently Used) caching mechanism
Implemented the popular lossless data compression algorithm for text files
Used functional programming to perform statistical analyses of tweets from popular individuals
A thorough analysis of an inspection result of over 448,000 restaurants in New York City. Used MapReduce
Used Apache Pig to analyze and draw conclusions about the salaries and professions of employees in San Francisco
Used Apache Hive to thoroughly analyze shot log data for the entire 14 -15 NBA Season (908 games)
This project involves using Depth-First and Breadth-First search to find a path to a goal in a given maze. I worked on this project in my CMPSCI 187 class at UMass
An evaluator for postfix expressions that I worked on in my CMPSCI 187 class at UMass
An interesting game that involves getting rings from a starting peg to a destination peg, whilst abiding to a ring size rule. I worked on this project in my CMPSCI 187 class at UMass
The traditional letter-guessing game. I worked on this project in my CMPSCI 187 class at UMass.
This project is my implementation of a Scapegoat Tree, which is one of the many types of self-balancing binary search trees. I worked on this project in my CMPSCI 187 class at UMass.
The objective of the game is to reach the finish point of the maze with the least path sum possible. Used Java