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jayshah19949596 / Machine-Learning-Models

Star 315

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm
  • Updated May 15, 2017
  • MATLAB

arnaldog12 / Machine_Learning

Star 212

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

python machine-learning neural-network naive-bayes linear-regression machine-learning-algorithms regression feature-selection logistic-regression kmeans adaboost decision-trees polynomial-regression knn principal-component-analysis redes-neurais-artificiais linear-discriminant-analysis multilinear-regression
  • Updated Apr 27, 2022
  • Jupyter Notebook

gionanide / Speech_Signal_Processing_and_Classification

Star 231

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can…

nlp classifier natural-language-processing feature-extraction nltk gaussian-mixture-models support-vector-machines mfcc principal-component-analysis speech-processing linear-discriminant-analysis isomap spectral-clustering long-short-term-memory kernel-pca spectral-embedding locally-linear-embedding linear-prediction-coefficients speech-utterance
  • Updated Mar 3, 2023
  • Python
COVID19-Literature-Clustering

MaksimEkin / COVID19-Literature-Clustering

Star 93

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

machine-learning random-forest clustering sklearn kaggle pca classification dimensionality-reduction bokeh kmeans tsne principal-component-analysis kmeans-clustering sgd-classifier coronavirus covid-19
  • Updated Nov 2, 2021
  • HTML
abess

abess-team / abess

Star 438

Fast Best-Subset Selection Library

python machine-learning r linear-regression scikit-learn high-dimensional-data feature-selection logistic-regression cox-regression principal-component-analysis classification-algorithm ordinal-regression poisson-regression sure-independence-screening multitask-learning sparse-principal-component-analysis robust-principal-component-analysis polynomial-algorithm best-subset-selection
  • Updated May 6, 2024
  • C++

lestercardoz11 / fault-detection-for-predictive-maintenance-in-industry-4.0

Star 111

This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.

python machine-learning random-forest svm jupyter-notebook autoencoder artificial-neural-networks kmeans principal-component-analysis gaussian-distribution isolation-forest ball-bearing predictive-maintenance lstm-autoencoder
  • Updated Jul 11, 2021
  • Jupyter Notebook
Writing-Styles-Classification-Using-Stylometric-Analysis

Hassaan-Elahi / Writing-Styles-Classification-Using-Stylometric-Analysis

Star 97

✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.

natural-language-processing artificial-intelligence principal-component-analysis authorship-attribution nlp-machine-learning clustering-algorithm plagiarism-detection unsupervised-machine-learning k-means-clustering lexical-features readability-scores vocabulary-richness writing-styles-detection intrinsic-plagiarism-detection stylometric-features writing-styles-extraction clustered-chunks-of-text authorship-analysis self-archive-research stylometric-techniques
  • Updated Feb 7, 2023
  • Python

Piyush-Bhardwaj / Breast-cancer-diagnosis-using-Machine-Learning

Star 40

Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.

machine-learning supervised-learning breast-cancer-prediction principal-component-analysis breast-cancer-wisconsin svm-classifier knn-classification classifier-model principle
  • Updated Jan 4, 2019
  • Python

farhanchoudhary / Machine_Learning_A-Z_All_Codes_and_Templates

Star 33

All codes, both created and optimized for best results from the SuperDataScience Course

natural-language-processing reinforcement-learning deep-learning clustering cross-validation naive-bayes-classifier thompson-sampling neural-networks classification dimensionality-reduction grid-search principal-component-analysis clustering-algorithm upper-confidence-bounds k-fold xgboost-algorithm association-rule-learning machine-learning-az
  • Updated Nov 5, 2017
  • Python

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