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GitHub topics: principle-component-analysis

cloudera/CML_AMP_Anomaly_Detection

Apply modern, deep learning techniques for anomaly detection to identify network intrusions.

Language: Python - Size: 8.39 MB - Last synced at: 6 days ago - Pushed at: 7 months ago - Stars: 49 - Forks: 18

Maya-Yagan/ML-suicide-rate-forecasting

Predict suicide rates using nine ML regression models, GA‑based feature selection, and PCA on public and custom datasets.

Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: 19 days ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Rohan3122k/Superconductor-Critical-Temperature-Prediction

This project applies machine learning to predict superconductor critical temperatures, achieving 91.81% accuracy with Random Forest, accelerating material discovery for energy, healthcare, and computing.

Size: 1.25 MB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

cglamb/Modeling

Modeling Portfolio (Python based)

Language: Jupyter Notebook - Size: 3.62 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

krichelj/ML_BGU_2020

Machine Learning and Analysis of Big Data course, Computer Science M.Sc., Ben Gurion University of the Negev, 2020

Language: MATLAB - Size: 1.21 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

JoshDavid/KokoStats

Toolkit for Data Science & Statistics

Language: APL - Size: 108 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 1

NovembreLab/eems-around-the-world

Repo to analyze population genetic data with many different methods

Language: R - Size: 9.92 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 14 - Forks: 8

Rishab0701/Artificial-Intelligence-with-Real-Time-Projects-and-Mini-Project-

All the projects and mini project on AI and ML I am going to do in my first year of college is going to be uploaded in here

Language: Jupyter Notebook - Size: 32 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

wildoctopus/heart-disease-detection

Heart disease detection using different classifiers and neural network with feature engineering.

Language: Python - Size: 33.2 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

ok3-8/material-ui-core

:cherries: Giving some examples with the core codes, and details the design and development of the Material UI.

Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

ok3-8/element-ui-devdocs-core

:grapes: Element UI for React DevDocs, while Introducing the method's principle and workflow.

Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 0

sudarshan-koirala/Dimensionality-Reduction

Using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) on same dataset and analyzing the best one

Language: Python - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

hmtalha786/Wine-Quality-Prediction

Implementation of PCA with KNN Clustering

Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

phantringuyen/PCA

a PCA project demonstrated on the Iris dataset

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ksonod/pca-auto-white-balance

RGB data processing pipeline including auto-white-balance based on principle component analysis.

Language: Python - Size: 17.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Carol-seven/PCAperm

Permutation Test for Principal Components Analysis

Language: R - Size: 3.88 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ChinmayKhasnis7/pca-clustering

PCA and Clustering

Language: Jupyter Notebook - Size: 813 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

kurtcms/standford-machine-learning

Machine learning problem sets from Stanford University's Machine Learning course on Coursera

Language: MATLAB - Size: 26 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

sreeharshabandi/ALVCD

Automatic License verification and Convict detection.

Language: C# - Size: 7.43 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Ayantika22/PCA-Iris-Clustering-Visualization

Principle Component Analysis Clustering Visualization for Iris dataset

Language: Jupyter Notebook - Size: 39.1 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

Ayantika22/PCA-Principle-Component-Analysis-For-Seed-Dataset

PCA(Principle Component Analysis) For Seed Dataset in Machine Learning

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 3

ksonod/Machine_Learning_Coursera_pythonversion

Python version of exercises in the Coursera course of Machine Learning provided by Stanford University (https://www.coursera.org/learn/machine-learning)

Language: Jupyter Notebook - Size: 20.6 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

iqbalhanif/Biplot

Example of Biplot Graph using R

Language: Jupyter Notebook - Size: 513 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

nmathias0121/ml-model-algorithms

import datasets, perform exploratory data analysis, scaling & different models such as linear or logistic regression, decision trees, random forests, K means, support vectors etc.

Language: Python - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sayarghoshroy/Image-Classification-Formulations

Insights and Analysis - Using Various Deep Learning Architectures on Image Classification Datasets

Language: Jupyter Notebook - Size: 8.96 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

Chandrakant817/PCA-implementation-of-on-Iris-Dataset

PCA implementation of on Iris Dataset

Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

sanjana098/machine-learning-course

All the graded assignments of the course

Language: Matlab - Size: 27.9 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

embarbos/air-pollution-data-analysis

Final Project for STA 135 with Dr. Xiucai Ding

Size: 325 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

dragonfly-ai/matrix

A cross compiled Scala.js port of JAMA for JVM, JavaScript, and Scala Native projects.

Language: Scala - Size: 1.07 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 0

RajPShinde/Footstep_Affordance

ROS package for creating a terrain cost map using RGBD Camera for locomotion of legged Robots.

Language: C++ - Size: 13.5 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 3

rxliu99/msia421-recommender-system

Northwestern Master of Science in Machine Learning and Data Science (formerly MSiA) | Winter 2023 | MSiA421 Data Mining

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 1

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.

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

suchetsapre/intrusion-dataset-comparison

An in-depth comparison of two prominent intrusion detection datasets: KDDCup99 and NSL-KDD

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

MasumBhuiyan/Object-Detection-Using-Principle-Component-Analysis-and-Fuzzy-Inference-System

An binary classification model based on principle component analysis and fuzzy inference system. It takes brain MRI images and predicts whether the MRI image contains a tumor or not.

Language: Python - Size: 325 KB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 2

anudeep-17/Data-mining-study

Datamining concepts

Language: Python - Size: 714 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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.

Language: Python - Size: 9.77 KB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

shivpalSW/Outlier-detection-using-unsupervised-ML

Anomaly Detection using Unsupervised Machine Learning

Language: Jupyter Notebook - Size: 10 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

gracengu/multiclass_classification 📦

[Completed] Complete framework on multi-class classification covering EDA using x-charts and Principle Component Analysis; machine learning algorithms using LGBM, RF, Logistic Regression and Support Vector Algorithms; as well as Bayesian Optimizer with l1 and l2 regularization for Hyperparameter Tuning.

Language: Jupyter Notebook - Size: 203 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

twigikit/clustering-homework

Language: Jupyter Notebook - Size: 6.69 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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).

Language: Jupyter Notebook - Size: 159 KB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

DCF0708/Cryptocurrencies

A project that implements PCA and predictive machine learning to classify cryptocurrencies with K-Means.

Language: Jupyter Notebook - Size: 3.44 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ajaybiswas22/LDA_Face_Recognition

Practical Implementation of Linear Discriminant Analysis to identify faces

Language: Jupyter Notebook - Size: 3.66 MB - Last synced at: 13 days ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

krag-harsh/pca_implementation

Implimenting PCA using numpy and comparing the results

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

daodavid/classic-ML

Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python

Language: HTML - Size: 1.49 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

SaumyaBhandari/Principal_Component_Analysis

This repository consists of performing Principal Component Analysis (Finding out the principle components of our dataset), using the concept of Eigen Vectors and Eigen Values of the correlation matrix. Also, it also includes the technique of reducing the dimension of the data using Singular Value Decomposition technique and reduce it to the lowest possible dimension.

Language: Jupyter Notebook - Size: 154 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

yusef320/Machine-Learning-with-Fortninte-data

PCA, Clustering, LDA y PLS Regression aplicado a estadísticas de partidas reales de Fortnite.

Size: 34.2 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

rmead7/Aerial-Biomass-Production

Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.

Language: R - Size: 248 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

hamzansariii/Principle-Component-Analysis

To reduce the curse of dimensionality one way is to do feature extraction, of which the PCA technique is a famous and effective one.

Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

faizan1234567/Machine-Learning

Machine learning with MATLAB/Octave, coding machine learning algorithms from scratch

Language: MATLAB - Size: 58.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Atlas975/ICL_MathForML_Course

ICL's Mathematics for Machine Learning specialization, Python assignments.

Size: 1 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

vvittis/MachineLearning

Size: 20 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

SurrajKumar2000/Parkinson-Detection-System

In this repo , detection of Parkinson's disease can be done using dimensionality reduction method.

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

ajaybiswas22/PCA-Face-Recognition

Practical Implementation of Principle Component Analysis in identifying faces.

Language: Jupyter Notebook - Size: 3.58 MB - Last synced at: 13 days ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

ebj220/data-analysis

Contains code and detailed write ups created while taking a class on Data Driven Modeling & Scientific Computation with Professor Nathan Kutz.

Language: MATLAB - Size: 3.73 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

sigmachirality/attrition_model

Simple classifiers intended to determine if an employee will leave their company

Language: Jupyter Notebook - Size: 441 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

ideclue/pca-cancer-data

An exploration of cervical cancer risk data using Principle Component Analysis (PCA) and clustering algorithms

Language: Jupyter Notebook - Size: 174 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

charmilgandhi/Principle-Component-Analysis

Language: MATLAB - Size: 4.88 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Prakash2403/Principle-Component-Analysis

Principle Component Analysis

Language: Python - Size: 261 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

sorennelson/Coursera-Machine-Learning

Machine Learning Course taught by Andrew Ng.

Language: Matlab - Size: 34.5 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

agn-7/pca_applicator

PCA applicator on a vector.

Language: Python - Size: 2.93 KB - Last synced at: 19 days ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

athulvijayan6/multivariate-data-analysis-CH5440

Course work of Multivariate data analysis CH5440

Language: Matlab - Size: 35.8 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 2 - Forks: 1

akashmalikab/Breast_Cancer

Prediction of breast Cancer

Language: Jupyter Notebook - Size: 7.02 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0

IISCAditayTripathi/Face_classification_PCA

Dimensionality reduction and Face classification using K-NN and PCA

Language: Python - Size: 165 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

webyneter/Components-Analysis

Training application for performing Kernel/Principle Components Analysis

Language: C# - Size: 372 KB - Last synced at: 3 months ago - Pushed at: over 8 years ago - Stars: 0 - Forks: 0

nemish11/Breast-Cancer-Detection

Language: Jupyter Notebook - Size: 2.7 MB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 1

windhaunting/compress-image

unsupervised learning to compress images and reconstruct images

Language: Python - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

Related Keywords
principle-component-analysis 67 machine-learning 25 pca 15 logistic-regression 11 python 10 linear-regression 9 k-means-clustering 8 data-science 7 random-forest 7 python3 6 svm 6 support-vector-machines 6 neural-network 5 linear-discriminant-analysis 5 face-recognition 5 jupyter-notebook 5 pca-analysis 5 gradient-descent 4 random-forest-classifier 4 dimensionality-reduction 4 neural-networks 4 kmeans-clustering 4 decision-tree-classifier 4 r 4 regression 4 classification 4 unsupervised-learning 4 support-vector-machine 3 coursera 3 classifier 3 matlab 3 feature-extraction 3 computer-vision 3 svm-classifier 3 iris-dataset 3 unsupervised-machine-learning 3 clustering 3 data-analysis 3 knn-classification 3 supervised-learning 3 knn-classifier 3 recommender-system 3 exploratory-data-analysis 3 svm-model 2 eigenfaces 2 eigenvalues 2 linear-algebra 2 data-visualization 2 entropy 2 kmeans 2 anomaly-detection 2 k-nearest-neighbours 2 accuracy 2 core 2 sigmoid-function 2 cohen-kappa 2 gaussian-naive-bayes 2 k-nearest-neighbor-classifier 2 dimentionality-reduction 2 decision-trees 2 singular-value-decomposition 2 gradient-boosting 2 lasso-regression 2 ridge-regression 2 clustering-algorithm 2 scikit-learn 2 principal-component-analysis 2 data 2 maximum-likelihood-estimation 2 principal-component-analysis-pca 2 regularization 2 numpy 2 pandas 2 octave 2 randomforest-classification 1 quadruped-robot 1 gini 1 octomap 1 locomotion 1 footstep-affordance 1 footstep 1 costmap 1 datamining-algorithms 1 scalajs 1 outlier-detection 1 scala3 1 decisiontreeclassifier 1 scala-native 1 scala 1 qr-decomposition 1 autoencoder 1 kddcup99 1 nsl-kdd 1 randomforestclassifier 1 intrusion-detection 1 model 1 database 1 svm-training 1 fuzzy-inference-system 1 training 1