Pinned Repositories
ADTPriorityQueueWithHeap
Developed a Generic ADT Priority Queue (min-priority queue) which was implemented with min-Heap ADT Priority Queue organizes a list of comparable objects of any type can be used to store a set of employees, jobs, bank accounts, etc
BinarySearchTree
SCHEME: Binary Search Tree
Classification-Model-Evaluation
This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.
Clustering-Algorithms-Implementation
This repository provides a basic implementation of two fundamental clustering algorithms along with an evaluation metric to assess their performance. Users can explore and modify the code to suit their specific clustering tasks and datasets.
DemoWebsite
Creating a consistent layout for web pages using HTML and CSS.
ExternalSort
Implemented an external sort solution to handle large datasets that cannot fit into main memory. The goal is to sort data elements in ascending order using disk-based operations. This project involves buffering, writing and reading runs, ordering data elements from multiple iterators, implementing basic external sort functionality, and optimizi
PongGameUsingTurtleIBM
PYTHON: Pong game using Turtle IBM. Created paddles on the left and right sides of the screen. Both players can control the in-game paddle by dragging it vertically. Players use their paddles to strike back and forth on the ball.
SlidingPuzzleClientAndServer
I made my sliding puzzle game into a single client and server program. The client is a child of the server process, and they use pipes for interprocess communication. The goal of the project is to develop a more modular project (separate units for client, server, and main), and practice with concepts such as interprocess communication.
StringMatchingLogic
Implemented the resume comparison feature to assess the similarity between the skills and experiences in the resume and predefined reference data. This tool is used to ensure the effectiveness of the resume comparison feature in "Gen AI: Generative User Profile Generator" Project.
UAlbanyIntramuralWebsite
This project comprises a website showcasing my teams achievements, roster, and game records. It features HTML pages styled with CSS for consistency and includes JavaScript functionalities for dynamic filtering of player stats and calculating win percentages.
SCUS3's Repositories
SCUS3/ADTPriorityQueueWithHeap
Developed a Generic ADT Priority Queue (min-priority queue) which was implemented with min-Heap ADT Priority Queue organizes a list of comparable objects of any type can be used to store a set of employees, jobs, bank accounts, etc
SCUS3/BinarySearchTree
SCHEME: Binary Search Tree
SCUS3/Classification-Model-Evaluation
This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.
SCUS3/Clustering-Algorithms-Implementation
This repository provides a basic implementation of two fundamental clustering algorithms along with an evaluation metric to assess their performance. Users can explore and modify the code to suit their specific clustering tasks and datasets.
SCUS3/DemoWebsite
Creating a consistent layout for web pages using HTML and CSS.
SCUS3/ExternalSort
Implemented an external sort solution to handle large datasets that cannot fit into main memory. The goal is to sort data elements in ascending order using disk-based operations. This project involves buffering, writing and reading runs, ordering data elements from multiple iterators, implementing basic external sort functionality, and optimizi
SCUS3/PongGameUsingTurtleIBM
PYTHON: Pong game using Turtle IBM. Created paddles on the left and right sides of the screen. Both players can control the in-game paddle by dragging it vertically. Players use their paddles to strike back and forth on the ball.
SCUS3/SlidingPuzzleClientAndServer
I made my sliding puzzle game into a single client and server program. The client is a child of the server process, and they use pipes for interprocess communication. The goal of the project is to develop a more modular project (separate units for client, server, and main), and practice with concepts such as interprocess communication.
SCUS3/StringMatchingLogic
Implemented the resume comparison feature to assess the similarity between the skills and experiences in the resume and predefined reference data. This tool is used to ensure the effectiveness of the resume comparison feature in "Gen AI: Generative User Profile Generator" Project.
SCUS3/UAlbanyIntramuralWebsite
This project comprises a website showcasing my teams achievements, roster, and game records. It features HTML pages styled with CSS for consistency and includes JavaScript functionalities for dynamic filtering of player stats and calculating win percentages.
SCUS3/Principal-Component-Analysis-PCA-Implementation
This repository contains a Python implementation of Principal Component Analysis (PCA) for dimensionality reduction and variance analysis. PCA is a powerful statistical technique used to identify patterns in data by transforming it into a set of orthogonal (uncorrelated) components, ranked by the amount of variance they explain.
SCUS3/Slotted-Page-Storage-Manager
The SlottedPageStorageManager project provides Java classes and interfaces for managing storage space using the slotted page format with buffering. It includes components for creating, storing, and manipulating objects within a file-based storage system.
SCUS3/StreamlitLLM
Running local server of streamlit chatbot powered by OpenAI LLM using the raw API. Includes both basic response and streamed response mocks.
SCUS3/Wage-Regression-Analysis
This project provides a comprehensive guide to implementing PCA from scratch and validating it using scikit-learn's implementation. The visualizations help in understanding the data's variance and the effectiveness of dimensionality reduction.