This repository provides some recommender engine models.
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Updated
Jul 6, 2023 - Python
This repository provides some recommender engine models.
Python cross-validation package with k-fold, leave-one-out and leave-one-subject-out
Códigos em Phyton utilizados na disciplina de engenharia médica, do curso de Engenharia Biomédica do Instituto de Ciência e Tecnologia - Universidade Federal de São Paulo
Machine Learning project. Movies Ratings prediction & prediction of White Wine Quality using classification algorithms. The main aim of the project: dive into ML/AI.
Easy to apply the crossvalidation on Pytorch
Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.
Predicting Win/Loss/Draw on the Connect Four dataset with Tsetlin Machines
Creating simple ANN with the help of Keras library for binary-classification
it provide better parameter choosing ability
Basic Machine Learning using Sklearn: K-Fold Cross Validation
Google colab notebook for the Kaggle Home prices submission
Python and sklearn, KNN, logistic and linear regression, cross-validation
This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
My implementation of homework 1 for the Introduction to Machine Learning class in NCTU (course number 1181).
All codes, both created and optimized for best results from the SuperDataScience Course
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