All codes, both created and optimized for best results from the SuperDataScience Course
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Updated
Nov 5, 2017 - Python
All codes, both created and optimized for best results from the SuperDataScience Course
Machine Learning project. Movies Ratings prediction & prediction of White Wine Quality using classification algorithms. The main aim of the project: dive into ML/AI.
Python and sklearn, KNN, logistic and linear regression, cross-validation
Google colab notebook for the Kaggle Home prices submission
My implementation of homework 1 for the Introduction to Machine Learning class in NCTU (course number 1181).
Easy to apply the crossvalidation on Pytorch
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
Predicting Win/Loss/Draw on the Connect Four dataset with Tsetlin Machines
This repository provides some recommender engine models.
Basic Machine Learning using Sklearn: K-Fold Cross Validation
Creating simple ANN with the help of Keras library for binary-classification
Master's Thesis project at University of Agder, Spring 2020. Classification with Tsetlin Machine on board game 'GO'.
Python cross-validation package with k-fold, leave-one-out and leave-one-subject-out
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