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Name: Dejan
Type: User
Bio: Data Science MSc student @ UniPd
Location: Italy
Name: Dejan
Type: User
Bio: Data Science MSc student @ UniPd
Location: Italy
Homework projects for the "Big Data Computing" course at UniPd. The overall objective is to explore and utilize parallelism using Apache Spark.
Programming assignments for "Computer Vision and Cognitive Systems" course at UniPd
Address the crowd counting problem on the Mall dataset (sparse) by exploring regression-based (Xception) and density-based (CSRNet) approaches.
Emotion recognition from EEG data (Bachelor's thesis), using the DEAP dataset. Performed manual feature selection across three domains: time, frequency, and time-frequency. Used different classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.
Implementation of three variants of the Frank-Wolfe method for solving the Minimum Enclosing Ball problem, and application to anomaly detection.
Natural Language Processing: Neural dependency parsing with BiLSTM and BERT.
Programming assignments for "Natural Language Processing" course at UniPd
Comparison of Gradient Descent and Block Coordinate Gradient Descent methods through a semi supervised learning problem.
Reinforcement Learning: Soft Actor-Critic + LQR Controller for Pendubot Swing-up
A comprehensive Statistical Analysis in R of a Life Expectancy dataset, covering Data Wrangling, EDA (Visualizations and Hypothesis Testing), and Supervised Learning (Regression and Classification).
Analyze and forecast time series data on the number of visitors to various Italian museums using techniques such as TimeGPT, SARIMAX, Holt-Winters, Lasso, Gradient Boosting, GAM, etc.
Script for scraping MYmovies.it using BeautifulSoup
Solving the Yashi game using a combination of graph theory and SAT-solving. First, connectivity of the graph is verified, and if true, identification of all possible cycles is done. Then, after generating all necessary constraints, they are passed to a SAT solver.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.