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LinkedIn-Clone
๐ป๐ Web application similar to LinkedIn implemented with Angular and SpringBoot.Reinforcement-Learning-Projects
๐ค Implementation of projects, such as automation driving and game Atari, using reinforcement learning.Logic-Programming
Problems solved with prolog.Red-Black-Tree
A redโblack 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.Airbnb-Data-Analysis-
A data mining project for data Exploration of Airbnb dataset, for Febrouary,March and April 2019B-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.Sentiment-classifier-RNN
Different kinds of sentiment classifiers are developed using bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset.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.Question-answering-BERT-model
โโIn this project a BERT-based model is build, which returns โan answerโ, 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.Love Open Source and this site? Check out how you can help us