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AliAmini93 / Fault-Detection-in-DC-microgrids

Star 35

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

neural-network random-forest svm cnn feature-selection fft dwt data-augmentation mutual-information linear-discriminant-analysis pearson-correlation grid-search-hyperparameters xgboost-classifier anova-analysis digsilent
  • Updated Aug 25, 2024
  • Jupyter Notebook

donishadsmith / vswift

Star 1

R package for machine learning classification model evaluation.

data-science machine-learning r random-forest naive-bayes cross-validation neural-networks classification logistic-regression decision-trees support-vector-machines k-nearest-neighbours model-evaluation quadratic-discriminant-analysis linear-discriminant-analysis gradient-boosting machinelearning-r stratified-sampling multinomial-logistic-regression
  • Updated Aug 14, 2024
  • R

jElhamm / Linear-Discriminant-Analysis-Data-Mining

Star 0

"This repository contains implementations of Linear Discriminant Analysis (LDA) algorithms for data mining tasks. Linear Discriminant Analysis is a dimensionality reduction technique used to find a linear combination of features that characterizes or separates classes of data."

python data-science machine-learning data-mining machine-learning-algorithms jupyter-notebook lda data-mining-algorithms linear-discriminant-analysis linear-discriminant-analysis-lda
  • Updated Jul 21, 2024
  • Jupyter Notebook

RachitaGurudev / Election-Exit-Poll-Prediction

Star 0

News channel CNBE wants to analyze recent elections. This survey was conducted on 1525 voters with 9 variables. Model is built to predict which party a voter will vote for on the basis of the given information, to create an exit poll that will help in predicting overall win and seats covered by a particular party.

exploratory-data-analysis naive-bayes-classifier logistic-regression min linear-discriminant-analysis gradient-boosting ada-boost-classifier knn-classifier min-max-scaler
  • Updated Jul 18, 2024

Vivek-Tate / Human-Activity-Patterns-Recognition

Star 0

This Human Activity Recogisition analyses human activity patterns using smartphone sensor data from the UCI Human Activity Recognition dataset. It involves outlier detection, correlation analysis, and structural graph analysis. DBSCAN clustering is applied, followed by LDA for dimensionality reduction, to visualise and interpret activity clusters

clustering dimensionality-reduction human-activity-recognition linear-discriminant-analysis human-activity-monitor dbscan-clustering-algorithm
  • Updated Jun 27, 2024
  • Jupyter Notebook

StarlangSoftware / Classification

Star 7

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms
  • Updated Jun 22, 2024
  • Java

SCUS3 / Classification-Model-Evaluation

Star 0

This project provides a comprehensive framework for evaluating classification models and selecting the best algorithm based on performance metrics. It demonstrates the importance of hyperparameter tuning and model comparison in machine learning workflows.

naive-bayes scikit-learn support-vector-machines multi-layer-perceptron k-nearest-neighbours linear-discriminant-analysis pandas-library matpolotlib precision-recall-f1-score-graph classification-model-evaluation
  • Updated Jun 6, 2024
  • Python

StarlangSoftware / Classification-Js

Star 0

Machine Learning Library for Classification Tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm bagging-trees
  • Updated May 14, 2024
  • TypeScript

StarlangSoftware / Classification-CS

Star 0

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm support-vector-classifier multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm bagging-trees autoencoder-classification
  • Updated May 11, 2024
  • C#

StarlangSoftware / Classification-Py

Star 13

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm bagging-trees autoencoder-classification
  • Updated May 11, 2024
  • Python

StarlangSoftware / Classification-Cy

Star 0

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis classification-algorithm multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm bagging-trees
  • Updated May 11, 2024
  • Cython

StarlangSoftware / Classification-CPP

Star 4

Machine learning library for classification tasks

deep-neural-networks feature-selection naive-bayes-classifier pca statistical-tests dataset-manager decision-tree-classifier decision-stumps multilayer-perceptron-network quadratic-discriminant-analysis linear-discriminant-analysis multilayer-perceptron random-forest-classifier subset-selection rocchio-algorithm knn-algorithm support-vector-machine-svm bagging-trees autoencoder-classification classification-algorithms
  • Updated May 9, 2024
  • C++

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