I am a bachelor's degree student in Artificial Intelligence at the University of Nice Sophia Antipolis, passionate about technology and development. Always curious and motivated, I enjoy learning new skills and taking on interesting challenges. Here are a few facts about me:
🗿 Alpha seeker on the Numerai tournament. View my profile: https://numer.ai/~m1000 🌱 I am actively training in artificial intelligence, where I design and deploy machine learning and deep learning models, while specializing in Python, R, SQL, and C languages. 💼 Looking for internship opportunities in AI, Data Science, or Quant. 🎓 AI graduate student - Sophia Antipolis University and currently in my fourth year of mathematics studies 🌐 Check out my portfolio! (in progress...)
This project implements an intelligent agent capable of learning to navigate a discrete environment using the Q-learning algorithm. The agent learns to reach a base while avoiding the walls of a manually coded maze. Read the pdf for more explanations.
Explanation in pdf, Multi-Agent Traffic Simulation with BDI Agents Project Overview A Java-based traffic simulator where autonomous vehicles (BDI agents) navigate urban environments using logical reasoning. Agents make decisions based on perceptions of traffic lights, obstacles, and other vehicles.
Développer un système capable de prédire si une paire de rapports de bug soumis sont dupliqués ou non. Ce système pourra être intégré dans un BTS pour identifier automatiquement les rapports dupliqués et améliorer la gestion des bugs.
The objective of this challenge is to develop a machine learning model that accurately predicts the probability of loan default.
The objective for this competition is to predict whether an applicant is approved for a loan based on the features provided in the dataset. Two different models: logistic regression and neural network
TP(https://gitlab.inria.fr/chxu/python-pour-ia-2024/-/tree/main/Python_pandas_numpy?ref_type=heads)
Un projet de programmation système. Client-serveur, il inclut des commandes comme !start, !list, @pseudo !ban, ainsi que la gestion des messages publics et privés.
For any questions or opportunities, you can reach me by email at marius.casamian@etu.unice.fr
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