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Projects in Awesome Lists tagged with principle-component-analysis
A curated list of projects in awesome lists tagged with principle-component-analysis .
https://github.com/cloudera/cml_amp_anomaly_detection
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
anomaly-detection autoencoder generative-adversarial-network principle-component-analysis support-vector-machine tensorflow
Last synced: 07 Nov 2024
https://github.com/wildoctopus/heart-disease-detection
Heart disease detection using different classifiers and neural network with feature engineering.
decesion-trees k-nearest-neighbours kmeans-clustering knn-algorithm multi-layer-perceptron pca-analysis principle-component-analysis random-forest svm
Last synced: 09 Nov 2024
https://github.com/moindalvs/pca_dimensionality_reduction
Principal Component Analysis Let's discuss PCA! Since this isn't exactly a full machine learning algorithm, but instead an unsupervised learning algorithm, we will just have a lecture on this topic, but no full machine learning project (although we will walk through the cancer set with PCA).
data-science pca pca-analysis principle-component-analysis
Last synced: 17 Nov 2024
https://github.com/krichelj/ml_bgu_2020
Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020
bayesian-inference big-data clustering-algorithm computer-science convex-optimization gradient-descent k-means-clustering kernel-methods linear-programming machine-learning mixture-models nearest-neighbours-classifier neural-networks pac-learning principle-component-analysis probability-statistics quadratic-programming regularization support-vector-machines vc-dimension
Last synced: 12 Nov 2024
https://github.com/rakeshkanneeswaran/project-heart-disease-prediction-unsing-machine-learning-
This Git repository contains a machine learning algorithm for HeartDiseaseAI, which predicts the likelihood of heart disease. The algorithm takes input from various features such as blood pressure, cholesterol levels, and age, and uses a predictive model to generate a probability score for heart disease diagnosis.
logistic-regression principle-component-analysis random-forest-classifier support-vector-machines
Last synced: 13 Nov 2024
https://github.com/rakeshkanneeswaran/project-web-application-diabetes-prediction-system
This Git repository contains a machine learning algorithm for DiabetesAI, which predicts the likelihood of type 2 diabetes. The algorithm takes input from various features such as glucose levels, BMI, and age, and uses a predictive model to generate a probability score for diabetes diagnosis.
data-science machine-learning principle-component-analysis
Last synced: 13 Nov 2024
https://github.com/webyneter/components-analysis
Training application for performing Kernel/Principle Components Analysis
components-analysis kpca-analysis pca-analysis principle-component-analysis
Last synced: 28 Nov 2024
https://github.com/sigmachirality/attrition_model
Simple classifiers intended to determine if an employee will leave their company
data-science human-resources ibm jupyter-notebook logistic-regression principle-component-analysis python random-forest
Last synced: 19 Dec 2024
https://github.com/agn-7/pca_applicator
PCA applicator on a vector.
pca principle-component-analysis python python3
Last synced: 16 Nov 2024
https://github.com/notthestallion/pca__3d-and-from-scratch__principal-component-analysis
In this project, I will be implementing Principal Component Analysis (PCA) from scratch on an ecological footprint consummation database for countries and a three-dimensional scale using a movie database. The goal of this project is to gain a deeper understanding of PCA and to demonstrate its capabilities in exploring complex datasets.
data data-science database pca pca-analysis principal-component-analysis principal-component-analysis-pca principle-component-analysis
Last synced: 13 Nov 2024
