Easy to apply the crossvalidation on Pytorch
-
Updated
Dec 29, 2020 - Python
Easy to apply the crossvalidation on Pytorch
Machine Learning project. Movies Ratings prediction & prediction of White Wine Quality using classification algorithms. The main aim of the project: dive into ML/AI.
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
This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
it provide better parameter choosing ability
My implementation of homework 1 for the Introduction to Machine Learning class in NCTU (course number 1181).
This repository provides some recommender engine models.
Predicting Win/Loss/Draw on the Connect Four dataset with Tsetlin Machines
Basic Machine Learning using Sklearn: K-Fold Cross Validation
Creating simple ANN with the help of Keras library for binary-classification
Google colab notebook for the Kaggle Home prices submission
Python and sklearn, KNN, logistic and linear regression, cross-validation
Python cross-validation package with k-fold, leave-one-out and leave-one-subject-out
Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.
All codes, both created and optimized for best results from the SuperDataScience Course
Add a description, image, and links to the k-fold topic page so that developers can more easily learn about it.
To associate your repository with the k-fold topic, visit your repo's landing page and select "manage topics."