seed-dataset

There are 0 repository under seed-dataset topic.

rasoulghaznavi / MLSEED
Emotion Recognition using ML methods on the SEED dataset
machine-learning machine-learning-algorithms data-science eeg-classification seed-dataset python jupyter-notebook anaconda
Language:Jupyter Notebook 17
Ayantika22 / PCA-Principle-Component-Analysis-For-Seed-Dataset
PCA(Principle Component Analysis) For Seed Dataset in Machine Learning
principle-component-analysis seed-dataset jupyter-notebook python-3 unsupervised-learning machine-learning classifier classification accuracy cohen-kappa logistic-regression knn-classifier k-nearest-neighbor-classifier dimensionality-reduction-technique support-vector-machines gaussian-naive-bayes decision-tree-classifier random-forest-classifier
Language:Jupyter Notebook 5
Ayantika22 / LDA-Linear-Discriminant-Analysis-for-Seed-Dataset
LDA(Linear Discriminant Analysis) for Seed Dataset
linear-discriminant-analysis-lda jupyter-notebooks python-3 seed-dataset unsupervised-learning machine-learning dimensionality-reduction-technique accuracy cohen-kappa logistic-regression-classifier k-nearest-neighbors support-vector-machine knn-classifier classifier classification gaussian-naive-bayes decision-tree-classifier random-forest-classifier
Language:Jupyter Notebook 3
Ayantika22 / Kmeans-and-Hierarchical-clustering-for-Seed-dataset
Kmeans and Hierarchical clustering for Seed-dataset in Machine Learning
jupyter-notebook python-3 seed-dataset kmeans-clustering hierarchical-clustering knn-classifier classifier classification unsupervised-learning machine-learning logistic-regression k-nearest-neighbors support-vector-machine gaussian-naive-bayes decision-tree-classifier random-forest-classifier accuracy cohen-kappa
Language:Jupyter Notebook 2
otakmager / projectML-ClusteringWeb
This repo is the result of a project assignment for a machine learning course at my university which was assisted by other group members. This project is to create a website that can cluster from the models that have been made. This model was created using the KMeans algorithm with 3 clusters that were trained with the seed dataset
bahasa-indonesia clustering-algorithm flask jupyter-notebook kmeans-clustering numpy pandas pickle python scikit-learn seed-dataset
Language:Python 1
sarikayamehmet / EI328-STI_4-J
Engineering Practice and Scientific and Technological Innovation Homework IV
domain-adaptation eeg emotion-recognition seed-dataset transfer-learning
Language:Python 1
Panos13L / GraphCNN-Network-EEG-Emotion-Classification
GraphCNN + CNN Network for EEG Emotion Recognition
cnn eeg emotion-recognition gcnn seed-dataset
Language:Jupyter Notebook