linear-discriminant-analysis-lda

Here are 25 public repositories matching this topic...

bkrai / R-files-from-YouTube

R and Data Files from my YouTube Channel

neural-network linear-regression exploratory-data-analysis data-visualization social-network-analysis class-imbalance sentimental-analysis exploratory-data-visualizations linear-discriminant-analysis-lda

Updated Mar 18, 2024

Nikhilkohli1 / Machine-learning-from-scratch

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Implementation of Machine Learning Algorithms (KNN, Linear, Logistic, SVM, K-Means, Decision Tree, Naive Bayes) from Scratch using Python & Numpy only

neural-network numpy svm pca logistic-regression gradient-descent decision-tree kmeans-algorithm knn-algorithm linear-discriminant-analysis-lda mlfromscratch

Updated Sep 7, 2020
Jupyter Notebook

AniKar / AE_Vis

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Autoencoder model implementation in Keras, trained on MNIST dataset / latent space investigation.

autoencoder tsne keras-tensorflow isomap principal-component-analysis-pca linear-discriminant-analysis-lda latent-space-interpolation

Updated Jun 22, 2021
Python

znreza / Machine_Learning_on_Prostate_Cancer

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Applying different machine learning algorithms on PCGA Prostate Cancer Gene Dataset for Feature Selection, Dimensional Reduction and Classification and Regression

machine-learning random-forest cross-validation feature-selection classification dimensionality-reduction regression-models principal-component-analysis information-gain linear-discriminant-analysis-lda low-variance

Updated Feb 11, 2019
Python

Ayantika22 / LDA-Linear-Discriminant-Analysis-for-Seed-Dataset

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LDA(Linear Discriminant Analysis) for Seed Dataset

classifier machine-learning classification accuracy python-3 support-vector-machine jupyter-notebooks unsupervised-learning decision-tree-classifier random-forest-classifier k-nearest-neighbors knn-classifier linear-discriminant-analysis-lda gaussian-naive-bayes seed-dataset logistic-regression-classifier dimensionality-reduction-technique cohen-kappa

Updated Jun 30, 2020
Jupyter Notebook

Escapist-007 / ML_Projects

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The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)

machine-learning neural-network tensorflow linear-regression regularization lda ridge-regression backpropagation handwritten-digit-recognition svm-classifier non-linear-regression quadratic-discriminant-analysis classification-algorithm regression-algorithms mnist-handwriting-recognition multiclass-logistic-regression mlp-network qda bias-variance-tradeoff linear-discriminant-analysis-lda

Updated Jan 16, 2020
Jupyter Notebook

harshit37 / Dimensionality-Reduction-using-PCA-LDA-and-t-SNE

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Analysing different dimensionality reduction techniques and svm

tsne-algorithm svm-classifier lfw-dataset principal-component-analysis-pca linear-discriminant-analysis-lda tsne-visualization fischer-iris

Updated May 31, 2020
Jupyter Notebook

Joycechidi / MachineLearning2

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Continuation of my machine learning works based on Subjects....starting with Evaluating Classification Models Performance

natural-language-processing reinforcement-learning deep-learning clustering thompson-sampling dimensionality-reduction apriori hierarchical-clustering k-means-clustering association-rule-learning kernel-pca eclat eval-classification-models-perf upper-confidence-bound-ucb natural-language-processing-algo artificial-neural-networks-ann convolutional-neural-networks-cnn principal-component-analysis-pca linear-discriminant-analysis-lda model-selection--xgboost

Updated Jul 26, 2018

Explore facial recognition through an advanced Python implementation featuring Linear Discriminant Analysis (LDA). This repository provides a comprehensive resource, including algorithmic steps, specific ROI code and thorough testing segments, offering professionals a robust framework for mastering and applying LDA in real-world scenarios.

computer-vision facial-recognition principal-component-analysis-pca linear-discriminant-analysis-lda