dimentionality-reduction

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Here are 40 public repositories matching this topic...

ptiagi / IP2Vec

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This repo contains implementation of IP2Vec model which is used for learning similarities between IP Addresses

clustering python3 dbscan-clustering tsne-visualization dimentionality-reduction ip-simmilarity

Updated Dec 1, 2023
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gulabpatel / Machine-Learning

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Regression, Classification, Clustering, Dimension-reduction, Anomaly detection

Updated Apr 27, 2024
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akashjborah97 / Graph-Based-Feature-Selection-for-Dimensionality-Reduction

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- Graph Based Feature Selection is a new approach of reducing the dimensionality of a dataset using a Graph Based approach. - The apporach tries to generate a Kruskal's minimum spanning tree of a graph where the features of the dataset are the vertices and the correlation among them are the weights of the edges. -The edges having weights greater…

python machine-learning graph new-approach dimentionality-reduction

Updated Mar 7, 2023
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1995parham-teaching / dimensionality-reduction

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Reduce the curse of dimensionality

data-science machine-learning teaching dimentionality-reduction

Updated Apr 6, 2023
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iAmKankan / Data-Gathering-And-Preprocessing

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Tutorial- data Pre-processing

feature-selection feature-engineering feature-scaling missing-values principal-component-analysis-pca dimentionality-reduction

Updated Jan 17, 2023
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blitzapurv / Clustering-basketball-players-based-on-performance

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Clustering NBA Players Based on Performance

clustering sports unsupervised-learning hypothesis-testing dimentionality-reduction

Updated Oct 22, 2022
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SohhamSeal / Eigen-Faces

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Application of PCA in facial recognition

pca svd eigenfaces eigendecomposition dimentionality-reduction

Updated Feb 3, 2024
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naorbarzilay / ML

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ML Homeworks using ML tools

visualization random-forest clustering svm sklearn regression supervised-learning pca classification kmeans adaboost t-sne preprocessing unsupervised-learning decision-tree gradient-boosting dimentionality-reduction

Updated Nov 13, 2022
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faizns / Airline-Customer-Segmentation-Based-on-LRFMC-Model-Using-KMeans

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This project focused on applying machine learning to build a clustering model to segment and analyze customer characteristics in the airline industry based on LRFMC scores using K-Means and suggest business strategy recommendations based on the results.

python clustering pca-analysis unsupervised-learning kmeans-clustering elbow-method mechine-learning dimentionality-reduction recency-frequency-monetary

Updated Jan 23, 2023
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IbrahimElzahaby / Statistics_for_Data_Scientists_-SDS-

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SDS course assignments

machine-learning random-forest logistic-regression decision-trees decision-tree anova mixed-models general-additive-model regularized-regression dimentionality-reduction reml bootstraping

Updated Jun 21, 2023
R

UoA-CARES / dvr_test_box_RL

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reinforcement-learning latent-space dimentionality-reduction vision-ba-learning

Updated Aug 1, 2023
Python

JoaoAfonsoBatista / Linear-and-Non-Linar-Optimization

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1st year master project: Projection of a 10-dimentional dataset into 2 or 3 dimentions using the Levenberg–Marquardt optimization algorithm, which was implemented.

python optimization projection levenberg-marquardt-algorithm dimentionality-reduction

Updated May 25, 2022
Python

yekhanfir / Customer-Churn-Prediction

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The pupose of this work is to create a model that helps predict the unsubscription (churn) of a given customer or a group of customers according to their age, gender, salary etc... using the provided data.

python logistic-regression dimentionality-reduction

Updated Sep 21, 2021
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LuciferDIot / Vehicle-Clustering-and-Dimensionality-Reduction

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This work involves two subtasks: assessing clustering results using all input variables and applying PCA for dimensionality reduction to improve understanding of multi-dimensional problems.

machine-learning-algorithms pca clustering-algorithm dimentionality-reduction

Updated May 23, 2023
R

fazelelham32 / Machine-Learning-Workshop-python-mathlab-R

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Codes and Project for Machine Learning

regression neural-networks pca image-captioning recommender-system support-vector-machines backpropagation anomaly-detection liner-regestion dimentionality-reduction

Updated Nov 12, 2024
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ZaZi2002 / Machine-Learning-Project

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Introduction to Machine Learning project with the goal of improving the classification performance on a dataset by optimizing the number of features and weak learners.

random-forest numpy scikit-learn pca ensemble-learning dimentionality-reduction