Vukašin Vasiljević's repositories
Polovni-Automobili-Webscraper
Script that extracts information from car ads from website and collects them in mysql database for later use.
MothI-orbits
Supplementary Material for “The mass-, period- and angular momentum dependences of the “moth-I” family of 3-body orbits”
Segmentation_On_Dicom_files
Working with DICOM files and segmenting aorta on lung pictures if one exists.
Three-body-orbits-correlations
We analyze the world set of data for planar periodic three-body orbits with zero angular momentum that pass through a symmetrical collinear configuration (syzygy), and find correlations between scale-invariant parameters as the ratio m3 m of the central m3 and the equal m masses, the topological quantifier Lf (the number of letters in the free-group F2(a, b) word describing the topology of an orbit, as defined in Refs. [1, 5]), the scale-invariant kinematic variables, such as the scale-invariant period T|E| 3/2 , or the scale-invariant angular momentum L|E| 1/2 , on one hand, and the distribution of marginally stable orbits, on another. We find a distribution that falls within a compact non-zero measure domain with clearly defined, apparently smooth boundaries in the space spanned by the topological index Lf and the mass ratio m3 m . On this basis, we predict an increase of the number of linearly stable orbits, as the mass ratio m3 m falls below 0.5. We also predict the (approximate) domain of these orbits’ initial conditions. Some consequences for astronomy/astrophysics are briefly discussed.
Analysis-of-prices-in-supermarkets-in-Serbia
Analysis of prices in some of the largest supermarkets in the Republic of Serbia (mainly supermarkets in Belgrade). Supermarkets are: Maxi, Tempo, Idea, Dis, Univerexport, Lidl.
Car-Java-Application
JavaProject
Classification-metrics-
Classification metrics such as confusion matrix, accuracy score, recall, specificity, precision implemented in jupyter notebook
Covid19-impact_on_usedCars_in_Serbia
Impact of COVID-19 pandemic on used cars market in Serbia, analysis of electronic market of used cars. Site polovniautomobili.com
Machine-Learning-Web-App
Machine learning web application that predicts the price of used cars based on car parameters. Furthermore, it incorporates a recommendation model for similar cars and it uses graphs to visualize price comparison between similar cars.
UNET-segmentation
Here's an example of convolutional neural network with UNET architecture that's used for segmentation of an lung X-ray medical images of COVID-19 patients.
WikiGame
The Wiki Game is a hypertextual game designed to work specifically with Wikipedia. Objective is to start on the randomly selected article and navigate to another pre-selected target article but this Python script does searching instead of you and provides path from start to destination article.
Coursera-Algorithms-Part-I-by-Princeton-University-Solutions-
Solutions for Algorithms Part 1, on Coursera
Decision-tree---simple-classification
Implementation of decision tree classification without EDA and other visualizations. Included simple tuning of hyperparameters with GridSearch and cross-validation with k-folds.
KFolds_CWL
Calculating accuracy and roc-auc score with KFolds cross-validation on dataset using Common Workflow Language.
Largest-Common-Sequence
Given two sequences, find the length of longest subsequence present in both of them. A subsequence is a sequence that appears in the same relative order, but not necessarily contiguous. For example, “abc”, “abg”, “bdf”, “aeg”, ‘”acefg”, .. etc are subsequences of “abcdefg”. So a string of length n has 2^n different possible subsequences.
LeasingCalculator
Car leasing calculator.
MoodleScraper
Python script that checks if certain change has been made to some web page.
Used_Cars_Predicting_Price_Model
This project is an attempt to create machine learning model for predicting car prices based on some key parameters that cars have; such as brand, model, mileage, motor volume, power, petrol and chassis.
UsedCars_RS
This project tries to create fake data for users and use them with scraped and cleaned data of used cars.
Zoo-Project
Creating neural network model for predicting type of animal based on given attributes