This repository includes my project to cluster the Mexican provinces/states based on a development model that I developed using several social and economic indicators.
-
Updated
May 11, 2023 - HTML
#
pca
Here are 131 public repositories matching this topic...
En este repositorio se encuentra el Trabajo de Fin de Máster de la Titulación Máster en Ciencia de Datos por la Universitat Oberta de Catalunya.
data-science data-mining svm naive-bayes pca dimensionality-reduction t-sne decision-trees knn breast-cancer-wisconsin umap breast-cancer
-
Updated
Jan 20, 2022 - HTML
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…
-
Updated
Feb 1, 2018 - HTML
Applying unsupervised learning algoriths on online shoppers intention data and model building
random-forest clustering naive-bayes-classifier pca-analysis pca logistic-regression unsupervised-learning knn decision-tree clustering-algorithm decision-tree-classifier kmeans-clustering classification-algorithims kmeans-algorithm unsupervised-machine-learning knn-classification agglomerative-clustering unsupervised-clustering logisticregression heirarchical-clustering
-
Updated
Dec 8, 2019 - HTML
Subnational Cholera Analysis in Yemen
python data-science machine-learning time-series pca dimensionality-reduction shapefile arima cholera geopandas k-means-clustering kernel-pca yemen
-
Updated
Apr 21, 2019 - HTML
Analisis korelasi, analisis faktor, dan PCA pada Dataset Modis (titik api) di Peru tahun 2010-2015 sebagai tugas Mata Kuliah Data Mining
-
Updated
Apr 14, 2023 - HTML
CART, K-Means, Apriori, Adaboost, RFE; models using Anti-cancer peptides vs Human proteins
random-forest eda pca kmeans cart boruta apriori-algorithm correlation-matrices adaboost-learning rfe
-
Updated
Jan 25, 2020 - HTML
Unsupervised Machine Learning analysis on Spice Girls Tidy Tuesday week 51 data.
-
Updated
Apr 28, 2022 - HTML
A machine learning project that classifies facial emotions (happy vs. neutral) using Principal Component Analysis for feature extraction and Support Vector Machine for classification.
-
Updated
Jul 14, 2025 - HTML
Learn main contents ML
-
Updated
Aug 23, 2018 - HTML
Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
-
Updated
Mar 14, 2017 - HTML
-
Updated
Nov 9, 2018 - HTML
-
Updated
May 13, 2023 - HTML
Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
sklearn prediction feature-selection data-visualisation pca unsupervised-learning cluster-data ica customer-segments natural-categories
-
Updated
Feb 12, 2018 - HTML
Some introductory data science projects, along with code and documentation. Of course, these projects are university projects.
python html r pca data-analysis t-sne lda ann svm-classifier k-means-clustering mlp-classifier sammon-mapping
-
Updated
May 18, 2022 - HTML
Customer Segments - Machine Learning Nanodegree from Udacity
machine-learning udacity clustering heatmap machine-learning-algorithms pca-analysis pca gaussian-mixture-models dimensionality-reduction outlier-detection k-means unsupervised-learning udacity-nanodegree scatter-matrix feature-transformation biplot udacity-machine-learning-nanodegree unsupervised-machine-learning k-means-clustering customer-segments
-
Updated
Oct 15, 2018 - HTML
Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?
machine-learning random-forest pca auc baseline logistic-regression regularization weights data-cleaning bayesian-optimization hyperparameter-tuning knn-classification unbalanced-data bias-variance-tradeoff fbeta-score stratified-cross-validation corelation-of-features
-
Updated
Nov 7, 2024 - HTML
Built an unsupervised Machine Learning pipeline to detect anomalies in Bitcoin transactions by selecting 19 key features from 700.
python data-science machine-learning bitcoin blockchain pca k-means unsupervised-learning tsne dbscan fraud-detection anomaly-detection isolation-forest
-
Updated
Jun 22, 2025 - HTML
Introduction to Machine Learning with R courseware.
machine-learning r svm pca classification resampling decision-trees regression-models bayesian-networks
-
Updated
Aug 1, 2022 - HTML
Improve this page
Add a description, image, and links to the pca topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the pca topic, visit your repo's landing page and select "manage topics."