algorithms-and-data-structures-challenges

Repository dedicated to honing my skills in algorithms and data structures. This repository serves as a playground for me to practice and improve my problem-solving abilities through a variety of algorithmic challenges. Join me on this journey of continuous learning and personal growth in the realm of algorithms and data structures.

armanyousefzade

big-data-project

This repository implements a big data project using PySpark RDDs to analyze the MovieLens small dataset. It includes code to process and analyze movie ratings data, calculate average ratings per movie and user, and explore movie genres. The project utilizes distributed computing techniques for efficient processing of large-scale data.

data-mining-project

Applied Data Mining, Machine Learning, and Data visualization techniques on the data related to car accidents in England and compared the importance of different factors on these accidents Using R, Python, and Java.

data-science-project

Applied Data Mining, Machine Learning, and Data visualization techniques on the data related to traffic and weather of an Iranian highway and analyzed the relation between traffic and weather, Using R, Python, Java, and API.

flowchart-designer

This repository provides a flowchart designer tool that allows users to design flowcharts and convert them into Java code. The tool includes features for creating different shapes, linking components, and generating Java code based on the flowchart design. Users can also run the generated Java code to observe the flowchart's functionality.

html-playground

Interactive platform to explore and practice HTML features for better understanding and proficiency.

maze-solver-using-genetic-algorithm

This repository implements a genetic algorithm in Java to solve complex mazes. The algorithm employs the principles of natural selection, reproduction, and mutation to evolve optimal maze-solving strategies. It utilizes a population of individuals to iteratively generate and improve solutions until an optimal path through the maze is found.

production-cost-optimization-using-dynamic-programming

This repository implements dynamic programming algorithms in Java to solve a production optimization problem. The problem involves determining the ideal production quantities for a company to minimize its production cost. The code utilizes dynamic programming techniques to efficiently calculate the optimal solutions.

spark-inverted-index-with-database-integration

Spark-based Inverted Indexing & Database Integration Efficiently build an inverted index using Apache Spark and leverage a relational database (e.g., SQLite) for storage. Python (PySpark) is employed for seamless implementation, harnessing the B-Tree data structure for enhanced performance.

spring-boot-restful-apis-playground

Repository for practicing and improving my skills in Spring Boot, a powerful framework for Java application development. It also includes code examples for building RESTful APIs, covering all major operations such as GET, POST, PUT, and DELETE.

spring-react-aws-full-stack-development

task-tracker-vuejs

Task-Tracker-VueJS

text-classification

This repository features a Java-based implementation of Naïve Bayes text classification, specifically designed to analyze and categorize developer discussions in GitHub. By focusing on quality attributes, the tool provides valuable insights into the extent and nature of these discussions.

toast-exercise-react

a simple toast system that notifies users when someone fills out a form on a page they've published (a form submission). They then can "like" the submission to have it saved on their list.

travel-agency

This Java-based application automate the tasks of a travel agency, including flight booking and cancellation. Simplify the management of flights and provide an efficient user interface for streamlined operations.

zip-text-file

This repository implements the Huffman algorithm in Java for compressing and decompressing text files. It provides functionality to zip and unzip text files using Huffman coding, reducing file sizes by encoding frequent words with shorter codes.