GitHub topics: dimentionality-reduction

Repositories

tezzytezzy/bank-account-fraud-analysis

Binary classification model research

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Shahriar-0/Data-Science-Course-Projects-S2024

different data science projects like data scraping, hypothesis testing, data visualization, training machine learning models and more

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cchohra/ImpactOfDRonIDSinIoT

This code is a part of a research project. It aims to identify the impact of the dimentionality reduction techniques on the accuracy and performance of machine learning based intrusion detection systems in IoT environments.

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xaxm007/MLchemy

A workspace related to all my Machine Learning study.

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abhipatel35/Automated-Machine-Learning-Pipeline-for-Iris-Dataset-Classification

Automated ML pipeline for Iris dataset classification using Decision Tree. Features PCA dimensionality reduction and standard scaling.

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SirineMaaroufi/ML_Clustering_Explorations

This repository contains a series of notebooks exploring various clustering techniques in machine learning.

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ZaZi2002/Machine-Learning-Project

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.

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

Codes and Project for Machine Learning

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aryanrzn/Prediction-of-Family-Income-and-Expenditure

in this project, logistic regression, KNN, classification trees, random forests and neural network were used.

Language: R - Size: 188 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

pratmo/wine-pca-clustering

Performing hierarchical and k-means clustering with and w/o PCA technique for dimentionality reduction.

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iAmKankan/Data-Gathering-And-Preprocessing

Tutorial- data Pre-processing

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gulabpatel/Machine-Learning

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

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irenegrone/DimentionalityReduction-PCA

Application of Principal Component Analysis

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koushik16/Fisher-Linear-Discriminent-for-Dimentionality-Reduction

Fisher's LDA is a dimensionality reduction and classification method maximizing class separability by finding linear discriminants that optimize the ratio of between-class to within-class variance.

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hmtalha786/Wine-Quality-Prediction

Implementation of PCA with KNN Clustering

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mehdi-aitaryane/pca-algorithm-from-scratch

A Python implementation of PCA algorithm from scratch using numpy

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SohhamSeal/Eigen-Faces

Application of PCA in facial recognition

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ArtemKornev0/Classification-task.-Based-Occupancy-Estimation-Using-Multivariate-Sensor-Nodes-

Задача классификации (Оценка занятости помещения на основе многомерных сенсорных узлов) / Classification task. (Based Occupancy Estimation Using Multivariate Sensor Nodes)

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soumyadeepghoshGG/Dimensionality-Reduction

A Python library for easy and effective feature reduction in machine learning and data science. It includes various techniques to streamline your feature selection process with FeatureReductor.

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madhurimarawat/Pattern-Recognition-and-Machine-Learning

This repository contains Pattern Recognition and Machine Learning programs in the Python programming language.

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ptiagi/IP2Vec

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

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UoA-CARES/dvr_test_box_RL

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IbrahimElzahaby/Statistics_for_Data_Scientists_-SDS-

SDS course assignments

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Kiariemuiruri/Loan-Application-Classifier-Algorithm

ML Classification Algorithm to predict Approval or Decline of a Loan

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mrsaraei/AutoIFS

Automated Important Features Selection Model for Machine Learning

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Archanakokate/ML_Mercedes_Benz_Greener_Manufacturing_Project

This project involves reducing testing time for car configurations. The tasks include removing columns with zero variance, checking for null values, applying label encoding, performing dimensionality reduction, and using XGBoost to predict testing time.

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faizns/Airline-Customer-Segmentation-Based-on-LRFMC-Model-Using-KMeans

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.

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akashjborah97/Graph-Based-Feature-Selection-for-Dimensionality-Reduction

- 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 than the user defined threshold are removed. Hence, reducing the dimension of the dataset.

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Related Keywords

dimentionality-reduction 39 pca 13 python 13 machine-learning 11 clustering 7 random-forest 5 classification 5 pca-analysis 4 logistic-regression 4 regression 4 machine-learning-algorithms 4 unsupervised-learning 3 data-science 3 feature-selection 3 feature-engineering 3 python3 3 gmm-clustering 2 dbscan-clustering 2 hierarchical-clustering 2 scikit-learn 2 numpy 2 kmeans-clustering 2 ml 2 k-means-clustering 2 principal-component-analysis 2 support-vector-machines 2 dbscan 2 data-visualization 2 svd 2 decision-trees 2 k-nearest-neighbours 2 supervised-learning 2 umap 2 lda 2 principle-component-analysis 2 artificial-neural-networks 1 statistics 1 prediction 1 reinforcement-learning 1 optuna 1 vision-ba-learning 1 anova 1 bootstraping 1 metrics 1 data-reduction 1 latent-space 1 mnist-dataset 1 tsne-visualization 1 ip-simmilarity 1 text-classifier 1 social-networking-dataset 1 python-libraries 1 monte-carlo-simulation 1 multivariate-linear-regression 1 predict-stock-prices 1 naive-bayes-classifier 1 pre-processing-data 1 autoencoder 1 mlp-classifier 1 computer-vision 1 face-recognition 1 identification 1 linear-discriminant-analysis 1 agglomerative-clustering 1 econometrics 1 r 1 kmeans 1 latent-semantic-analysis 1 natural-language-processing 1 backward-feature-elimination 1 forward-feature-selection 1 high-correlation-filter 1 low-variance-filter 1 missing-values-ratio 1 nlp 1 decision-tree 1 general-additive-model 1 mixed-models 1 regularized-regression 1 reml 1 sklearn 1 ai 1 aritificial-intelligence 1 csv 1 encoding 1 exploratory-data-analysis 1 elbow-method 1 mechine-learning 1 recency-frequency-monetary 1 graph 1 new-approach 1 hypothesis-testing 1 sports 1 lightgbm-classifier 1 comparison 1 clustering-methods 1 machine-learning-pipeline 1 iris-dataset 1 end-to-end-ml-workflows 1 descision-tree 1