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TPS ET RAPPORTS MODULE RCR 1 et 2
The homeworks related to Machine Learning university course would be saved here.
Practical experience in hyperparameter tuning techniques using the Keras Tuner library. Hyperparameter tuning plays a crucial role in optimizing machine learning models, and this project offers hands-on learning opportunities. Exploring different hyperparameter tuning methods, including random search, grid search, and Bayesian optimization
Python code to compute full joint distributions of bayesian network
First implementation of NormAN, an agent-based framework for normative argument exchange across networks.
This project is a simple text processing using bayesian networks and bag of words(BOW) algorithm.
This repository contains the assignments of Artificial Intelligence course at Sharif University of Technology.
This project aimed at inferring whether a patient has cancer based on their data. It consists of 2 applications: one for learning and one for predicting.
News segmentation by Bayes classifier.
My introduction to Causality. I used a breast cancer dataset and tried to classify cell types by using the causal relationship between the cell features.
TDDE15 - Advanced Machine Learning course at Linkoping University, Sweden
Case Study: Personalized Anti-Coagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials
Artificial intelligence course projects