pca-analysis

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Albertsr /Anomaly-Detection

Star297

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

data-mining pca-analysis pca semi-supervised-learning principal-component-analysis intrusion-detection-system lof anomaly-detection isolation-forest mahalanobis-distance kernel-pca pulearning

UpdatedFeb 18, 2021
Python

TatevKaren /mathematics-statistics-for-data-science

Star138

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

bootstrap r clustering linear-regression python3 pca-analysis probability-distribution dimensionality-reduction monte-carlo-simulation rejection-sampling importance-sampling regression-analysis data-imputation inverse-transform-method factor-analysis-methods statistcal-tests canonical-correlation

UpdatedApr 16, 2024
R

Mayurji /MLWithPytorch

Star131

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm

UpdatedDec 15, 2021
Python

bkrai /Top-10-Machine-Learning-Methods-With-R

Sponsor

Star80

Includes top ten must know machine learning methods with R.

machine-learning random-forest naive-bayes-classifier pca-analysis logistic-regression decision-tree cluster-analysis market-basket-analysis extreme-gradient-boosting k-nearest-neighbor-classifier

UpdatedJan 3, 2025

hewm2008 /VCF2PCACluster

Star71

A new simple and efficient software to PCA and Cluster For popolation VCF File

pca-analysis population kinship vcf2pca pca2kinship

UpdatedFeb 3, 2025
C++

ALebrun-108 /BoxSERS

Star64

Python package that provides a full range of functionality to process and analyze vibrational spectra (Raman, SERS, FTIR, etc.).

python machine-learning deep-learning pca-analysis preprocessing unsupervised-learning cnn-keras data-augmentation chemometrics sers vibrational-spectroscopy raman-spectroscopy baseline-correction

UpdatedSep 25, 2024
Jupyter Notebook

adele-k02 /CS229-machine-learning-solar-energy-predictions

Star62

Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are included.

python machine-learning deep-learning tensorflow matlab pca-analysis data-processing lstm-neural-networks solar-energy time-series-prediction time-series-forecasting boosting-tree

UpdatedJun 29, 2021
Python

heliphix /btc_data

Star53

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

machine-learning deep-learning time-series bitcoin svm blockchain prediction feature-selection cryptocurrency lstm pca-analysis artificial-neural-networks decision-trees regression-models technical-indicators btc-data classification-models bitcoin-prices

UpdatedJan 29, 2022
Jupyter Notebook

allanbmartins /Projeto_ETL_RFB_IBGE_ANP

Star51

PYTHON E POSTGRESQL - EXTRACT TRANSFORM LOAD - ETL - DADOS PÚBLICOS DA RECEITA FEDERAL DO BRASIL - RFB, INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA - IBGE E AGÊNCIA NACIONAL DO PETRÓLEO, GÁS NATURAL E BIOCOMBUSTÍVEIS - ANP - PYTHON E POSTGRESQL

sql etl numpy postgresql pandas python3 pca-analysis webscraping

UpdatedMay 4, 2024
Python

LahiruJayasinghe /machine-failure-detection

Star47

PCA and DBSCAN based anomaly and outlier detection method for time series data.

pca-analysis pca outlier-detection dbscan anomaly-detection dbscan-clustering time-series-prediction

UpdatedSep 26, 2018
Python

lucadivit /Pcap_Features_Extraction

Star38

This program allow you to extract some features from pcap files.

csv pcap malware packet-analyser feature-extraction pca-analysis attacker malware-analysis features packet-filter legitimate-pcap

UpdatedApr 4, 2023
Python

jrothschild33 /Fudan-DataMining

Star38

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Linear Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vec…

data-mining random-forest linear-regression naive-bayes-classifier pca-analysis xgboost gbdt logistic-regression adaboost decision-trees support-vector-machines knn-classification

UpdatedFeb 3, 2023
Jupyter Notebook

viodotcom /ppca_rs

Star35

Python+Rust implementation of the Probabilistic Principal Component Analysis model

python rust data-science machine-learning linear-algebra machine-learning-algorithms pca-analysis pca dimensionality-reduction missing-data maximum-likelihood em-algorithm maximum-likelihood-estimation missing-values

UpdatedAug 27, 2024
Rust

amarinderthind /RNA-seq-tutorial-for-gene-differential-expression-analysis

Star33

This RNAseq data analysis tutorial is created for educational purpose

tutorial rna-seq r analysis ngs gene-expression pca-analysis rnaseq deseq2 bioconductor-packages enrichment-analysis edger ngs-analysis rnaseq-workshop reactome-pathway rnaseq-pipeline rna-seq-dge

UpdatedFeb 24, 2025
R

kwichmann /PCA_and_autoencoders

Star28

Dimensionality reduction

pca-analysis neural-networks autoencoders

UpdatedJul 19, 2017
Jupyter Notebook

francoispierrepaty /SubspaceRobustWasserstein

Star28

Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"

pca-analysis pca dimensionality-reduction wasserstein optimal-transport wasserstein-barycenter wasserstein-discriminant-analysis wasserstein-metric wasserstein-distance subspace-robust-wasserstein

UpdatedJun 14, 2019
Jupyter Notebook

arneish /CUDA-PCA-jacobi

Star27

CUDA C implementation of Principal Component Analysis (PCA) through Singular Value Decomposition (SVD) using a highly parallelisable version of the Jacobi eigenvalue algorithm.

c hpc gpu cuda pca-analysis cuda-kernels gpu-computing svd principal-component-analysis parallel-programming jacobi-eigenvalues

UpdatedMay 10, 2019
Cuda

the-mrinal /ML-Notebook

Star26

Karma of Humans is AI

notebook text-classification linear-regression matploblib naive-bayes-classifier pca-analysis logistic-regression gradient-descent confusion-matrix used-cars svm-classifier feature-scaling decision-tree-algorithm numpy-arrays logisticregression gridsearchcv knn-classifier

UpdatedMar 9, 2020
Jupyter Notebook

yaricom /TimeSeriesLearning

Star26

The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.

deep-neural-networks deep-learning time-series recurrent-neural-networks pca-analysis rnn adagrad rmsprop leaky-relu adam-optimizer random-forest-regressor adamax

UpdatedAug 16, 2016
Python

devrajkataria /Credit-Card-Fraud-Detection-ML-WebApp

Star25

python machine-learning svm jupyter-notebook credit-card webapp flask-application pca-analysis xgboost fraud-management lightgbm logistic-regression html-css imbalanced-data smote fraud-detection creditcard-fraud knn-classification creditcardfrauddetection frauddetection

UpdatedMay 17, 2020
Python

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