dimensionality-reduction

Here are 63 public repositories matching this topic...

MaksimEkin / COVID19-Literature-Clustering

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
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ImmuneDynamics / Spectre

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A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

clustering dimensionality-reduction flow-cytometry mass-cytometry computational-analysis batch-alignment

Updated Sep 19, 2025
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USCbiostats / partition

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A fast and flexible framework for data reduction in R

r data-reduction dimensionality-reduction partitional-clustering

Updated Nov 10, 2024
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TuomoNieminen / Helsinki-Open-Data-Science

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A DataCamp course for the University of Helsinki

data-science statistics cross-validation regression classification dimensionality-reduction university-course datacamp-course university-of-helsinki datacamp datacamp-exercises

Updated Oct 28, 2021
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asai2019 / job-description-nlp

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Analysis of Data Scientist Job Descriptions using Natural Language Processing

data-science machine-learning natural-language-processing r random-forest xgboost dimensionality-reduction logistic-regression glove webscraping multidimensional-scaling text2vec

Updated May 21, 2019
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derpylz / semantle_umap

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Visually explore a game of semantle using a UMAP representation of the underlying word2vec word embedding.

dimensionality-reduction babylonjs 3d umap word-games gensim-word2vec semantle babyplots

Updated Jul 15, 2022
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lmego / customer_segments

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Creating Customer Segments - 4th project for Udacity's Machine Learning Nanodegree

machine-learning udacity clustering pca gaussian-mixture-models dimensionality-reduction outlier-detection unsupervised-learning udacity-nanodegree clustering-algorithm creating-customer-segments scatter-matrix feature-scaling feature-transformation biplot

Updated Feb 9, 2017
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dunkelhaus / cancerTherapy

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To use deep learning to identify patients whose tumor DNA mutations “look similar to” other tumors for which treatments are effective.

bioinformatics deep-neural-networks ai detection ml cancer-genomics classification dimensionality-reduction

Updated Dec 4, 2018
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ttavni / Image_Clustering

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Here we present a way to cluster images using Keras (VGG16), UMAP & HDBSCAN

computer-vision clustering image-processing dimensionality-reduction image-clustering

Updated Jan 16, 2019
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ragamarkely / customer_segments

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PCA and Gaussian Mixture Model Clustering to uncover hidden segments in customer purchase data.

clustering pca gaussian-mixture-models dimensionality-reduction

Updated Jul 27, 2017
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s2t2 / openai-embeddings-2023

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Classifying users on social media, using text embeddings from OpenAI and others

machine-learning sentiment-analysis classification dimensionality-reduction twitter-dataset toxicity-classification bot-classification

Updated Apr 1, 2024
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prabhuvashwin / Data-Analysis-on-Hospital-Readmission-Data

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Analysis on hospital readmission data for diabetic patients using R and Tableau

r random-forest naive-bayes-classifier pca-analysis dimensionality-reduction data-analysis artificial-neural-networks logistic-regression tableau decision-trees predictive-modeling class-imbalance svm-classifier hospital-readmission-data diabetic-patients

Updated Aug 1, 2017
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varmatilak22 / Credit_Score_Prediction

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Credit Score Prediction is a machine learning project that classifies credit scores ('Good', 'Standard', 'Poor') using a streamlined pipeline. It involves data extraction, cleaning, and preprocessing, with key techniques like Mutual Information for feature selection, PCA for dimensionality reduction, and XGBoost for efficient and accurate model tr

python pipeline numpy pandas feature-selection pca dimensionality-reduction sqlite3 mutual-information classification-report imblearn joblib streamlit xgboost-classifier roc-auc-curve random-search-optimization

Updated Sep 5, 2024
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lennart-finke / kanjidist-visualiser

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The Jōyō Kanji Map

data-visualization dimensionality-reduction kanji

Updated Jun 7, 2024
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covuworie / nobel-physics-prizes

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Predicting Nobel Physics Prize winners. Final project for Harvard CS109a 2017 edition https://github.com/covuworie/a-2017.

python machine-learning natural-language-processing binary-data random-forest svm exploratory-data-analysis scraping spacy matrix-factorization dimensionality-reduction topic-modeling logistic-regression scraping-websites factor-analysis hypothesis-testing binary-classification nobel-laureates nobel-physics-prizes

Updated Aug 23, 2021
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srjit / kaggle-uk-accident-data-analysis

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Data Exploration, and Analysis of accidents in the UK using Unsupervised ML algorithms

data-science data-mining clustering dimensionality-reduction uk-accident-data

Updated Dec 13, 2017
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sharmaroshan / Understanding-PCA

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Principal Component Analysis is One of the Most Popular Dimensionality Reduction Algorithms used in Machine Learning Which comes under Unsupervised Way of Learning. It is also Used as a way of Feature Extraction where, More Information is Extracted from all the Existing Attributes, in just some 3-4 Attributes using the Concepts of Eigen Values a…