mcoric96,Mate Ćorić,github

About me

ADAS machine learning engineer at AVL (Zagreb)

Open to freelance work: data science, machine learning, data insights, mathematical modelling.

Career interests:

artificial intelligence - emphasis on deep learning and reinforcement learning
building autonomous intelligent systems

Capabilities

mathematics (Bachelor's and Master's degree)
programming (Python, C#, R)
algorithms (complexity and analysis, ability to understand complex algorithms)
machine learning: deep learning, reinforcement learning, TensorFlow

Completed master's degree in mathematics and computer science, from the University of Split (Croatia)

Masters thesis: Deep generative models
How to reach me: LinkedIn

Mate Ćorić's Projects

blackjack-game

Blackjack game(OOP programming course)

blackjack-reinforcement-learning

Learning how to play Blackjack using tabular reinforcement learning algorithms - Monte Carlo first visit - Q learning

crime-analysis

New York crime analysis - R - Data mining course - association rules - density clustering(DBSCAN) - hotspots detection - mapping crimes

cryptography

Cryptography course - Cryptography modules - classic chipers - DES function f - Number theory module

generative-modelling-boston-dataset

Generative models for creating synthetic data from Boston housing dataset

greedy-graph-coloring

Greedy graph coloring - comparison of programming paradigms - logic programming vs functional programming

learning-gaussian-distributions-in-tensorflow

Template TensorFlow code for feed-forward neural networks - learning Gaussian distributions

ml_papers

PhD papers repository - prediction of pedestrian crossing behavior at uncontrolled crosswalks

natural-language-processing

NLP course - language models - word tokenization - Leventsheim distance - Naive Bayes example

shortest-path-solver-ai-course-

Shortest path solver( Artificial intelligence course)

usa-presidents-speeches-classification

Python - NLP course project - USA presidents speeches classification problem - multinominal logistic regression - stohastic gradient descent

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