principle-component-analysis
There are 84 repositories under principle-component-analysis topic.
cloudera/CML_AMP_Anomaly_Detection
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
kaur-anupreet/Software-Defect-Prediction
Application of Deep Learning and Feature Extraction in Software Defect Prediction
NovembreLab/eems-around-the-world
Repo to analyze population genetic data with many different methods
pravinknr/DataScience_R_Codes
This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.
dragonfly-ai/matrix
A cross compiled Scala.js port of JAMA for JVM, JavaScript, and Scala Native projects.
RajPShinde/Footstep_Affordance
ROS package for creating a terrain cost map using RGBD Camera for locomotion of legged Robots.
Ayantika22/PCA-Principle-Component-Analysis-For-Seed-Dataset
PCA(Principle Component Analysis) For Seed Dataset in Machine Learning
kurtcms/standford-machine-learning
Machine learning problem sets from Stanford University's Machine Learning course on Coursera
faizan1234567/Machine-Learning
Machine learning with MATLAB/Octave, coding machine learning algorithms from scratch
JoshDavid/KokoStats
Toolkit for Data Science & Statistics
wildoctopus/heart-disease-detection
Heart disease detection using different classifiers and neural network with feature engineering.
ksonod/pca-auto-white-balance
RGB data processing pipeline including auto-white-balance based on principle component analysis (PCA).
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.
athulvijayan6/multivariate-data-analysis-CH5440
Course work of Multivariate data analysis CH5440
Ayantika22/PCA-Iris-Clustering-Visualization
Principle Component Analysis Clustering Visualization for Iris dataset
ebj220/data-analysis
Contains code and detailed write ups created while taking a class on Data Driven Modeling & Scientific Computation with Professor Nathan Kutz.
JHamza11/Breast-Cancer-Detection
Prediction and classification of breast cancer using standard scaling, PCA, and SVM.
johannabosch/Microbiome-Analysis-Using-Clusters
This is a 16S amplicon analysis for visualizing microbiome data using QIIME, QIIME2R and Phyloseq. DNA was isolated fom both sediment cores and seabird fecal samples for this analysis.
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)
Prakash2403/Principle-Component-Analysis
Principle Component Analysis
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.
suchetsapre/intrusion-dataset-comparison
An in-depth comparison of two prominent intrusion detection datasets: KDDCup99 and NSL-KDD
Ac1d-Md-Shehabul-Islam/Machine-Learning
Machine Learning models applied on Toy datasets.
Atlas975/ICL_MathForML_Course
ICL's Mathematics for Machine Learning specialization, Python assignments.
Carol-seven/PCAperm
Permutation Test for Principal Components Analysis
Chandrakant817/PCA-implementation-on-Iris-Dataset
PCA implementation of on Iris Dataset
daodavid/classic-ML
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
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.
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).
ok3-8/element-ui-devdocs-core
:grapes: Element UI for React DevDocs, while Introducing the method's principle and workflow.
ok3-8/material-ui-core
:cherries: Giving some examples with the core codes, and details the design and development of the Material UI.
rovinapinto/Klimadynamics
Exercises from the course at University of Bonn on Klimadynamics und Statistiks.
shivpalSW/Outlier-detection-using-unsupervised-ML
Anomaly Detection using Unsupervised Machine Learning
sudarshan-koirala/Dimensionality-Reduction
Using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) on same dataset and analyzing the best one