Myrto-Iglezou/Red-Black-Tree

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2
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C
Created over 4 years ago
Updated over 4 years ago

Myrto-Iglezou/Red-Black-Tree

Myrto-Iglezou

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A red–black tree is a self-balancing binary search tree. Each node of the binary tree has an extra bit, and that bit is interpreted as the color (red or black) of the node. These color bits are used to ensure the tree remains balanced during insertions and deletions.

LinkedIn-Clone

💻🌐 Web application similar to LinkedIn implemented with Angular and SpringBoot.

Reinforcement-Learning-Projects

🤖 Implementation of projects, such as automation driving and game Atari, using reinforcement learning.

Jupyter Notebook

Logic-Programming

Problems solved with prolog.

Airbnb-Data-Analysis-

A data mining project for data Exploration of Airbnb dataset, for Febrouary,March and April 2019

Jupyter Notebook

B-plus-Tree

Implementation of a B+ tree in C, as a project in "Implementation of Database Management Systems" course.

MultiProcess-disease-monitor

Implementation of an undistributed information processing tool that receives, processes, records and answers questions about viruses. It is created with processes, using system calls fork / exec and communicating processes through pipes, using low-level I / O.

Document-retrieval-system

This project is about developing a document retrieval system to return titles of scientific papers containing the answer to a given user question. Two different sentence embedding approaches have been implemented and compared.

Jupyter Notebook

Sentiment-classifier-RNN

Different kinds of sentiment classifiers are developed using bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset.

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Greek-Ministry-of-Labour-website

🏛️ 🇬🇷 🌐 Redesigned the website of Greek Ministry of Labour as a project for Human-Computer Interaction course.

MultiThread-disease-monitor

Implementation of an undistributed information processing tool that receives, processes, records and answers questions about viruses. It is created, using system calls fork / exec, threads, signals and communication through pipes, using low-level I / O and sockets.

Comment-Classifier

A machine learning system that takes a comment and classifies it as offensive or non-offensive (neutral). This system will be trained in a data set with comments in which the tags (insult or non-insult) are known. Classification algorithms used: Naive Bayes, SVM, Random Forest.

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Question-answering-BERT-model

❓❔In this project a BERT-based model is build, which returns “an answer”, given a user question and a passage which includes the answer of the question. For this question answering task, SQuAD 2.0 dataset is used.

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