analytics_unsupervised

This repository offers Python scripts for text data analysis, utilizing machine learning and unsupervised methods. It includes tools for dimensionality reduction, clustering, and visualization, helping users uncover patterns and insights from their text data efficiently.

chromadb_framework

This script demonstrates how to use the Chroma library for managing collections of text data. It sets up a client, creates or retrieves a collection, adds documents to it, and queries for the closest matching texts based on an input query. It leverages embeddings from a specified model to find and display the most relevant texts.

dockerhubimages

docker_example

get_next_line

This repository features my implementation of get_next_line, a C function that reads and returns a single line from a file descriptor, handling large files efficiently. It includes essential utilities for string manipulation and memory management, showcasing key C programming concepts.

kivanc57

Config files for my GitHub profile.

lagrance_smoothing_visualization

This project demonstrates a Python application for generating, smoothing, and visualizing a game map using Lagrange smoothing techniques. It creates an initial map with specified dimensions and missing values, applies smoothing iteratively to refine the map, and generates visual representations to observe the effects until it stabilizes.

libft

This repository contains custom implementations of standard C library functions, developed as part of my 42 Prague coursework. It includes string manipulation, memory management, file I/O, and mathematical functions, all adhering to strict coding standards.

linguistic_game

This project is a Python-based game where you generate a map, place entities, and play through a game loop. It uses constants for game settings, initializes the game map, handles player movements, and tracks health and enemies. The game continues until the player defeats all enemies or loses all health.

nlp_data_visualization

This project provides Python scripts for analyzing and visualizing text data using efficient NLP methods. It includes tools for creating bar plots, histograms, pie charts, treemaps, violin plots, and word clouds, using libraries such as matplotlib, seaborn, wordcloud, spacy, and textblob.

printf

This repository features a custom printf implementation, crafted as part of my 42 Prague coursework. It delivers formatted output for characters, strings, integers, unsigned integers, hexadecimal values, and pointers, all while adhering to rigorous coding standards and project specifications.

restaurant_management

This Python application simulates a restaurant management system. It handles table booking, menu display, order processing, and payment management. The Restaurant class integrates these features, allowing interaction through a command-line interface.

r_explanatory_analysis

Exploratory and Descriptive Data Analysis on Indonesian data using R. This project involves reading data, feature analysis, correlation analysis, logistic regression, PCA, MDS, and clustering. Visualizations include boxplots, scatter plots, corrgrams, and dendrograms. Comprehensive report available in report.docx.

r_feature_comparison

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

sqlite3_framework

This project manages an SQLite database to handle file operations. It creates tables, inserts files from a directory, and queries for data such as the largest files and files with specific extensions. The script sets up the database, performs operations, and prints results to help users manage and analyze file data efficiently.