aparsak

bankers-algorithm-simulator

Python implementation of the Banker's Algorithm for deadlock avoidance in resource management.

cli-todo-list

A basic CLI task manager implemented in Golang, featuring task addition, listing, editing, deletion, and completion marking.

cord19-topicextraction-textmining

Text mining and analysis on the CORD-19 dataset, featuring tokenization, lemmatization, dimensionality reduction, clustering to find similar articles, and search optimization.

cpu-scheduling-algorithms-in-rust

This repository contains implementations of three CPU scheduling algorithms written in Rust.

cryptography-web-application

This is a web app built with Go and the Gin framework, offering simple tools to encrypt and decrypt text using classic ciphers like Caesar and Affine.

customer-clustering

This notebook performs exploratory data analysis and clustering on customer data. It includes data visualization, PCA for dimensionality reduction, K-Means clustering with optimal cluster determination, and evaluation using Silhouette Score.

email-verifier

A web-application that validates email addresses by checking their format, MX records, and domain. It provides detailed output on email validity and domain status.

employee-absenteeism-analysis

An analytical project focused on exploring and predicting employee absenteeism using data mining and statistical techniques. It aims to identify patterns, trends, and potential factors contributing to workplace absences.

frauddetection-classification-clustering

A project for detecting credit card fraud using classification and clustering techniques. This repository includes data preprocessing, model training, and evaluation for effective fraud detection.

ga-iris-clustering

A Jupyter notebook implementing a genetic algorithm for clustering the Iris dataset, showcasing an evolutionary approach to optimize cluster formations.

house-price-regression-analysis

Regression analysis for house prices using various models including linear, ridge, lasso, decision tree, random forest, gradient boosting, and polynomial regression.

kakurosolver-ai

An AI-driven Kakuro solver that employs Constraint Satisfaction Problems (CSP) and advanced backtracking algorithms to efficiently and accurately solve complex puzzles.

mnist-nn-from-scratch

A neural network with two layers: a hidden layer and an output layer. The network is trained using mini-batch gradient descent, with functions for forward and backward propagation, parameter updates, accuracy tracking, and prediction visualization.

pacman-ai-minimax

A simple Pacman game in Python, featuring AI-driven gameplay using the Minimax algorithm with Alpha-Beta pruning. The AI makes decisions to navigate the maze, collect points, and avoid ghosts.

rainfall-prediction-with-machine-learning

This project uses data preprocessing, feature engineering, and machine learning algorithms including K-Nearest Neighbors (KNN), Support Vector Machines (SVM), and Decision Trees to predict rainfall based on meteorological data.

simple-2048

A classic implementation of the 2048 puzzle game using HTML, CSS, and JavaScript.