Projects in Awesome Lists tagged with pca-analysis

https://github.com/tatevkaren/mathematics-statistics-for-data-science

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

Last synced: 10 Apr 2025

https://github.com/lucadivit/pcap_features_extraction

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

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

Last synced: 11 May 2025

https://github.com/viodotcom/ppca_rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

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

Last synced: 11 Apr 2025

https://github.com/yaricom/timeserieslearning

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.

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

Last synced: 05 Apr 2025

https://github.com/parvvaresh/ml-algorithms

Here we have fully implemented a number of algorithms related to machine learning

Last synced: 24 Feb 2025

https://github.com/ethanhe42/an-analysis-of-single-layer-networks-in-unsupervised-feature-learning

Implementation for: An Analysis of Single-Layer Networks in Unsupervised Feature Learning

kmeans neural-network pca-analysis

Last synced: 11 Apr 2025

https://github.com/jbris/multivariate_analysis_examples

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

canonical-correlation-analysis concrete dimension-reduction dimensionality-reduction factor-analysis mds multivariate multivariate-analysis multivariate-data multivariate-distributions multivariate-linear-regression multivariate-regression multivariate-statistics nmds partial-least-squares partial-least-squares-regression pca pca-analysis pls redundancy-analysis

Last synced: 04 May 2025

https://github.com/cheng-lin-li/machinelearning

Implementations of machine learning algorithm by Python 3

decision-trees fastmap gaussian-mixture-models gmm hmm-viterbi-algorithm kmeans lstm machine-learning machine-learning-algorithms mlp neural-network pca pca-analysis perceptron perceptron-learning-algorithm python3 scikit-learn tensorflow

Last synced: 09 Oct 2025

https://github.com/lucasrodes/kpca-denoising-python

Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016

denoising-images kernel-methods kpca-analysis machine-learning pca-analysis

Last synced: 18 Mar 2025

https://github.com/supersonichub1/spotify-audio-embeddings

Visualizations of music semantics calculus using Spotify and deep embeddings.

audio-embedding clustering embeddings interactive-visualizations music pca-analysis spotify

Last synced: 07 May 2025

https://github.com/n-sapkota/fault-detection-wind-turbine

Wind turbine fault detection using one class SVM

fault-detection machine-learning pca-analysis python wind-turbines

Last synced: 28 Jul 2025

https://github.com/SreehariRamMohan/Heart-Sounds-Deep-Learning

❤️ Diagnose Heart Arrhythmias using Deep Learning @ Synopsis 2017

audio-processing classification convolutional-neural-networks deeplearning heartbeat pca-analysis python3 raspberrypi signal-processing tensorflow tkinter

Last synced: 13 Apr 2025

https://github.com/brunocampos01/allstate-claims-severity

Udacity Machine Learning Engineer Nanodegree capstone proposal.

allstate capstone-proposal challenge data-analyst-nanodegree data-cleaning data-engineering data-science data-visualization dataset deep-learning kaggle machine-learning pca-analysis pt-br python udacity-machine-learning-nanodegree

Last synced: 15 Apr 2025

https://github.com/ivan-zhou/anomaly_detection

anomaly-detection autoencoder decoder deep-learning encoder encoder-decoder multivariate-analysis pca pca-analysis principal-component-analysis reconstruction

Last synced: 26 Sep 2025

https://github.com/shyamsn97/barebones-ai

Machine Learning and Deep Learning algorithms built from scratch

autoencoders clustering deep-learning deep-learning-algorithms hacktoberfest2018 machine-learning-algorithms pca-analysis supervised-learning unsupervised-learning

Last synced: 19 Jun 2025

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: 07 Aug 2025

https://github.com/akurgat/botnet-anomaly-detection

Using a MLP to identify botnets in network traffic

mlp-classifier pca-analysis pcap python seaborn tensorflow

Last synced: 13 Jul 2025

https://github.com/iamdanialkamali/word-embedding-bert

Word Sense Disambiguation Using BERT model

bert classification pca-analysis

Last synced: 16 Mar 2025

https://github.com/valentingol/torch_pca

Principal Component Anlaysis (PCA) in PyTorch.

pca pca-analysis principal-component-analysis python python3 pytorch torch

Last synced: 28 Oct 2025

https://github.com/dodotree/boxik

cpp flot-charts network-analysis networking pca-analysis pcap

Last synced: 06 Mar 2025

https://github.com/eeddaann/data-mining-project

boosting confusion-matrix data-mining feature-engineering feature-selection gaussian-naive-bayes-implementation knn-classifier machine-learning mlp-classifier pca-analysis roc-curve

Last synced: 24 Jul 2025

https://github.com/j4nn0/machine-learning-pca-svm

PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM

classification-algorithm dataset kfold-cross-validation linear-kernel machine-learning machine-learning-algorithms machine-learning-models machine-learning-practice machine-learning-tutorials naive-bayes-classification naive-bayes-classifier naive-bayes-implementation pca-analysis pca-implementation pca-mode-visualization pca-predict rbf-kernel svm-classifier svm-training training-dataset

Last synced: 14 Aug 2025

https://github.com/aman-095/principal-orthogonal-decomposition-on-schlieren-images

Using SVD and PCA to observe the top and most influential modes present in a shock wave generated from a super-sonic wind tunnel.

canny-edge-detection pca-analysis super-resolution svd

Last synced: 15 Mar 2025

https://github.com/asifhaider/machine-learning-4-2

Machine Learning Course Assignments from Scratch (Exploratory Data Analysis, Logistic Regression, Adaboost, Feed Forward Neural Network, EM Algorithm, Gaussian Mixture Models, Singular Value Decomposition, Image Reconstruction, Principal Component Analysis)

adaboost eda em-algorithm gaussian-mixture-models logistic-regression neural-network pca-analysis preprocessing singular-value-decomposition

Last synced: 27 Mar 2025

https://github.com/jash271/myntra_image_search_emulation

A Mockup to imitate Myntra's Image Search 👔

Last synced: 18 Mar 2025

https://github.com/oscarlorentzon/repstruct

Python library for finding representative structures in image collections

bag-of-visual-words descriptor image-retrieval pca-analysis python

Last synced: 22 Jul 2025

https://github.com/sherif-mooo/mts-cpca

Common PCA for Multivariate time series

multivariate-time-series pca-analysis

Last synced: 23 Feb 2025

https://github.com/mohd-faizy/07p_tumor-diagnosis-exploratory-data-analysis-on-breast-cancer-wisconsin-dataset

Tumor Diagnosis: Exploratory Data Analysis With Seaborn

data-analysis data-visualization eda exploratory-data-analysis knn-classification pca-analysis python random-forest random-forest-classifier statistics support-vector-machines tumor-detection visualization

Last synced: 24 Oct 2025

https://github.com/mikel-brostrom/housing_price_prediction

California housing price prediction with NN, Random Forest and Linear Regression

california-housing-price-prediction data-cleaning feature-engineering linear-regression pca-analysis random-forest

Last synced: 28 Dec 2025

https://github.com/reckadon/ml-harwithdts

Repository for Assignment 1 of team KAR.ai. - Human Activity Recognition (HAR) with Decision trees and LLMs

data-collection decision-trees groq-api human-activity-recognition jupyter machine-learning matplotlib pandas pca-analysis prompt-engineering sklearn tsfel

Last synced: 07 May 2025

https://github.com/phanikmr/facefinder

FaceFinder is an face recognition security check app coded in Matlab. It can solve the issue of security check just in seconds. It identifies the particular person is allowed or not allowed for a particular thing or task. This can be used as an Visual Attendance system where student identification and recognition is achieved through face recognition, in security applications, in short face recognition applications are used in widely in many corporate and educational institutions, at ticket reservation systems. The alogorithm behind face tracking is Viola Jones and for face recognition PCA.

computer-vision face-recognition image-processing matlab pca-analysis

Last synced: 22 Mar 2025

https://github.com/mumtaz4118/transfer-learning-on-covid-data

This deep learning model(CNN) uses Transfer learning by Feature Extraction and Fine Tuning in order to make multiclass-classification between COVID-19, Pneumonia and Healthy images.

data-science deep-learning embedding-vectors feature-engineering feature-extraction machine-learning pca-analysis research-project transfer-learning

Last synced: 10 Oct 2025

https://github.com/mwoss/ml-workshop

My first steps to becoming AI engineer :)

ai andrew-ng classification cnn coursera dimensional-analysis fuzzy-logic java k-means k-medoids kernel-trick knn machine-learning matlab metric-learning pca pca-analysis python svm

Last synced: 17 Mar 2025

https://github.com/moindalvs/assignment_pca_wine_dataset

Case Summary Perform Principal component analysis and perform clustering using first 3 principal component scores (both Heirarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining who shows it has 3 clusters)

data-science feature-selection jupyter-notebook pca pca-analysis python tsne

Last synced: 02 Sep 2025

https://github.com/yehoanatnezra/cancer_attributes_prediction

This repository implements a machine-learning pipeline that, given a patient’s clinical profile, predicts cancer risk and, if positive, the most likely subtype or metastasis pattern. It includes cleaned training data, reproducible training scripts and a concise analysis report.

gradient-boosting k-means-clustering machine-learning pca-analysis random-forest

Last synced: 25 Sep 2025

https://github.com/leonard-seydoux/arrayprocessing

Array processing

coherence detection eigenvalues eigenvectors pca-analysis python3 seismology signal-processing spatial-data-analysis

Last synced: 16 Mar 2025

https://github.com/adames-ouro/pybiplot

R's BiPlot visual for PCA in Python

matplotlib pandas pca-analysis pybiplot pypi-package python3 rstudio sklearn visualization

Last synced: 02 Aug 2025

https://github.com/mahnoorsheikh16/sketchify-a-quick-draw-drawing-classifier

Implementation of a sketch‐recognition pipeline inspired by Google’s Quick, Draw!—from raw stroke data to prediction. Includes data preprocessing and feature‐engineering scripts, three Bayesian classifiers alongside Logistic Regression, SVM, K-NN and XGBoost baselines, and an RNN model.

bayesian-classifier drawing-classification feature-engineering gaussian-naive-bayes google-quick-draw kfold-cross-validation knn-classification linear-discriminant-analysis-lda logistic-regression matplotlib-pyplot multivariate-gaussian-distribution parzen-window pca-analysis rnn-pytorch seaborn-plots sequential-forward-selection spherical-gaussian-kernel svm-classifier tsne-visualization xgboost-classifier

Last synced: 13 Aug 2025

https://github.com/kamal-shirupa/solar-power-forecasting

This project predicts solar panel energy output based on weather conditions and irradiance levels using a hybrid model of Gradient Boosting (for feature importance) and LSTM (for time-series forecasting). By leveraging real-world irradiance, weather, and panel data, the model enhances solar energy utilization and power grid efficiency.

deep-learning gradient-boosting knn-imputation lstm machine-learning pca-analysis shap-values

Last synced: 08 Jul 2025

https://github.com/mahnoorsheikh16/credit-card-default-prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

encoding hiplot imblearn json knn-imputer logistic-regression matplotlib numpy pandas pca-analysis plotly scipy seaborn sklearn smote streamlit support-vector-machines timeseries-forecasting visualization xgboost-classifier

Last synced: 30 Dec 2025

https://github.com/zofiaqlt/market_research_nlp_clustering

🎯 International market analysis and optimization program for reducing food waste and improving the vegetable export industry - use of Python, JupyterLab and NLP (Background research, Data collection, Cleaning, EDA, Unsupervised Machine Learning, Factorial method, HCA, Clustering, Data Visualization and 10-year projection with Sankey Diagram

clustering database-management nlp pca-analysis python sankey-diagram

Last synced: 20 Aug 2025

https://github.com/vercetti322/image-reconstruction

This repository has the image reconstruction models on MNIST (0-9) images dataset.

jupyter-notebook pca-analysis python variational-autoencoder

Last synced: 02 Mar 2025

https://github.com/mukeshchugani10/facial-image-compression

Compression of a 400-images database using PCA

compress-images compression dimensionality-reduction eigenfaces machine-learning pca-analysis

Last synced: 23 Jun 2025

https://github.com/mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

chi-square-test encoding hiplot imblearn json knn-imputer matplotlib numpy pandas pca-analysis pillow plotly robust-scalar scipy seaborn sklearn smote streamlit ttest visualization

Last synced: 01 Mar 2025

https://github.com/aryehky/ml-theory-to-implementation

📚🧠 Explores core machine learning concepts through interactive, hands-on Jupyter notebooks. From building a neural network from scratch to applying dimensionality reduction and classification with real-world libraries, this project bridges the gap between theory and practical application.

4d-database jupyter-notebook machine-learning matploblib numpy pca-analysis

Last synced: 23 Jun 2025

https://github.com/raj-pulapakura/basketball-players-analysis

This repo features an analysis on various basketball players, using unsupervised learning techniques.

basketball clustering coursera data-science exploratory-data-analysis machine-learning pca-analysis unsupervised-machine-learning

Last synced: 15 Nov 2025

https://github.com/itancio/sixt33n

The objective of this lab is to use voice commands to control how the car moves. Each voice command is associated with one of these events: drive straight far, drive straight close, turn right, and turn left. The voice command signals will undergo PCA projection and classification process in real-time. For every successful classification, Sixt33n should set to start drive mode and execute the intended action.

k-means-clustering pca-analysis

Last synced: 21 Feb 2025

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: 11 Mar 2025

https://github.com/mmsaki/clustering-crypto

Using k-Means algorithm and a Principal Component Analysis (PCA) to cluster cryptocurrencies.

elbow-curves pca-analysis

Last synced: 02 Sep 2025

https://github.com/rishiraj824/machinelearningalgorithms

A consortium of popular ML algorithms/concepts implemented in Python.

algorithms-implemented consists fashionmnist gaussian-distribution k-means-clustering knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms neural-network pca-analysis perceptron places-almanac python resnet svm-classifier tf-idf

Last synced: 23 Mar 2025

https://github.com/GokulSuseendran/Insurance-Fraud-Prediction

The objective of the project is to predict the risk of auto Insurance fraud using Logistic Regression.

logistic-regression msexcel pca-analysis r rshinyapp

Last synced: 29 Jul 2025

https://github.com/ht0710/pca

Principal Component Analysis

ai algorithm machine-learning pca pca-analysis principal-component-analysis

Last synced: 03 Mar 2025

https://github.com/bp0609/har-human-activity-recognizer-decision-tree-model

This is a robust and efficient ML model for recognizing various human activities such as walking, sitting, and running using accelerometer data.

decision-tree-classifier pca-analysis tsfel

Last synced: 14 Oct 2025

https://github.com/ondrejhruby/fashion-mnist

Machine Learning Project: Fashion MNIST Classification using Random Forest and PCA for dimensionality reduction.

classification computer-vision data-processing dimensionality-reduction fashion-mnist feature-extraction image-classification machine-learning machine-learning-algorithms pca pca-analysis python random-forest scikit-learn

Last synced: 03 Jan 2026

https://github.com/andersoncrs/analisis-dispositivos-moviles-eda-pca

Se analizaron datos de dispositivos móviles para encontrar patrones y simplificar la información usando herramientas visuales y técnicas como PCA. Así, es más fácil entender qué características son más relevantes y cómo se relacionan entre sí, facilitando la toma de decisiones en tecnología móvil.

data-exploration exploratory-data-analysis jupyter-notebook pca-analysis

Last synced: 01 Jul 2025

https://github.com/12danielll/neural_networks_project

The project focuses on analyzing neural activity data to classify neuron types (spiny and aspiny). It integrates unsupervised learning methods (PCA, Autoencoders) and supervised learning models (Logistic Regression, MLP) to build accurate classifiers that effectively analyze neurons' electrical responses.

2d-and-3d-visualizations autoencoders classifier-evaluation cortical-neurons data-compression gradient-descent high-dimensional-neural-datasets logistic-regression mlp mlp-networks neural-classification neuron neuronal-network pca-analysis perceptron roc-auc stochastic-gradient-descent supervised-learning unsupervised-learning

Last synced: 16 Mar 2025

https://github.com/abhijeetdasbakshi/ecommerce-insights

A Dockerized end-to-end project that combines unsupervised machine learning for customer segmentation with scalable data pipelines. It uses MongoDB for data ingestion, Scikit-learn for clustering, Airflow for orchestration, and Streamlit for interactive visualization — enabling actionable insights into e-commerce

airflow airflow-dags ci-cd-pipeline clustering dags data data-pipelines docker docker-compose docker-container dockerfile git great-expectations kafka mongodb pca-analysis postgresql pyspark t-sne umap-learn

Last synced: 30 Dec 2025

https://github.com/Seavleu/Supervise-Unsupervise-Learning-Projects

binary-classification clustering k-nn logistic-regression pca-analysis

Last synced: 11 May 2025

https://github.com/niteshchawla/movie-recommender-system

To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.

collaborative-filtering correlation-matrix cosine-similarity exploratory-data-analysis feature-engineering knearest-neighbor-algorithm mape matrix-factorization pca-analysis pearson-correlation recommender-system rmse sparsity tsne-visualization visualization

Last synced: 08 Apr 2025

https://github.com/niteshchawla/clustering-ml

Analyzing the vast data of learners can uncover patterns in their professional backgrounds and preferences. Allowing Scaler to make tailored content recommendations and provide specialized mentorship.

cluster-analysis clustering hierarchical-clustering k-means-clustering machine-learning numpy pca-analysis visualisation

Last synced: 27 Feb 2025

https://github.com/raghavendra317/socio-economic-analysis-of-nations

This project uses PCA and KMeans clustering to analyze global socio-economic and health factors, identifying countries in urgent need of aid. The insights help organizations like HELP International optimize resource allocation.

clustering data-science dataanalysis machine-learning pca-analysis python unsupervised-learning

Last synced: 24 Mar 2025

https://github.com/lingumd/cryptocurrencies

Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.

concatenate elbow-curves get-dummies hvplot jupyterlab kmeans matplotlib-pyplot minmaxscaler pandas path pca-analysis plotly-express scikit-learn unsupervised-machine-learning

Last synced: 16 Mar 2025

https://github.com/kwokhing/udacity-bertelsmann-intro-to-ml-with-tensorflow

Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow

deep-learning gridsearchcv k-means-clustering machine-learning pca-analysis pickle random-forest sklearn supervised-machine-learning tensorflow unsupervised-machine-learning

Last synced: 25 Mar 2025

https://github.com/r-mahesh45/principle-component-analysis-pca-

This project uses PCA for dimensionality reduction and applies hierarchical and K-means clustering to identify optimal clusters, validated against the original data.

pca-analysis python3

Last synced: 25 Mar 2025

https://github.com/ieCecchetti/Python_ML_DL_examples

A variety of Machine Learning and Deep Learning scripts in Python. Included some theorical info about that in the Readme

bayes-classifier bayesian-statistics deep-learning kernel machine-learning matplotlib neural-network numpy pandas pca pca-analysis python scikitlearn-machine-learning scipy shi

Last synced: 10 Mar 2025

https://github.com/ziraddingulumjanly/unsupervised-learning-implementation-on-heartattackdataset

This study aims to identify distinct subgroups within a dataset of patients with heart attack-related features using unsupervised learning techniques: k-means and Hierarchical

dataset heartattack kaggle kmeans-algorithm kmeans-clustering pca-analysis tsne-algorithm unsupervised-machine-learning

Last synced: 31 Mar 2025

https://github.com/purcellcjp/cryptoclustering

This project applies K-means clustering to group crypto-currencies based on 24 hr and 7 day price changes. In addition, it investigates the impact of dimensionality reduction using Principal Component Analysis (PCA) on clustering outcomes.

clustering cryptocurrency machine-learning pca-analysis unsupervised-learning

Last synced: 15 Jul 2025

https://github.com/tinaland101/cryptoclustering

This project leverages unsupervised learning to analyze cryptocurrency data by clustering cryptocurrencies based on their price changes over 24 hours and 7 days. The goal is to predict if cryptocurrencies are impacted by recent price fluctuations using K-means clustering and Principal Component Analysis (PCA) for dimensionality reduction.

pandas-library pca-analysis python

Last synced: 29 Nov 2025

https://github.com/tashi-2004/global-ecommerce-retail-trends-analysis

The Global E-commerce & Retail Analysis project involves data preprocessing, dimensionality reduction with PCA, CLV calculation and What-If analysis . Key insights include effective PCA for data reduction, detailed CLV analysis across segments , and the impact of pricing strategies on sales.

boxplot clv-analysis data-science data-visualization dataintegration deep-learning dimensionality-reduction ecommerce heatmap machine-learning normalization outlier-detection outlier-removal pca-analysis preprocessing python scatter-plot whatif-analysis

Last synced: 13 Jun 2025

https://github.com/afraniomelo/pmpca

PCA for multivariate statistical process monitoring.

abnormality-detection anomaly-detection dimensionality-reduction fault-detection pca pca-analysis

Last synced: 09 Apr 2025

https://github.com/jesussantana/unsupervised-classification

Practice and become familiar with clustering algorithms

hierarchical-clustering kmeans-clustering pca-analysis unsupervised-classification unsupervised-clustering

Last synced: 28 Feb 2025

https://github.com/abdelhamid2c/acp

Implementation of Principal Component Analysis in Python

pca-analysis python

Last synced: 24 Nov 2025

https://github.com/marcinz20/anomaly-detection-in-credo-dataset

University project, which goal is to build a system, that detects anomalies in CREDO dataset

credo data-analysis data-science encoder-decoder-model jupiter-notebook pca-analysis python3

Last synced: 04 Jul 2025

https://github.com/vishal815/linear-algebra-and-pca-visualizations-code-and-solved-numerical-notes

Explore Linear Algebra & PCA. Python PCA visualizations for dimensionality reduction. Solved 2x2 & 3x3 matrix problems for practical understanding. Ideal for learners & professionals. Strengthen your math skills today!

analytics data-science dataanalytics datavisualization dimension-reduction dimensionality-reduction eigenvalues eigenvectors linear-algebra macine-learning math matrix numerical-methods pca pca-analysis python stastic stastical-learning vishallazrus visulization

Last synced: 25 Mar 2025

https://github.com/intscription/machine-learning

Machine Learning and it's advance concepts

adaboost numpy pandas pca-analysis pipeline random-forest scikit-learn svm

Last synced: 06 Jul 2025

https://github.com/noedemange/nspcaview

App Shiny : Optimised matrix visualization of Non-negative Sparse PCA components.

nspca pca pca-analysis r rstats shiny shiny-apps visualization

Last synced: 27 Feb 2025

https://github.com/mrtejas/ml-algos

A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.

adaboost bagging-ensemble decision-trees gmm-clustering gradient-boosting hidden-markov-models kernel-density-estimation knn-classification machine-learning mlp-classifier mlp-regressor multinomial-logistic-regression pca-analysis random-forest stacking-ensemble

Last synced: 15 May 2025

https://github.com/anujdutt9/unsupervised-deep-learning

Unsupervised Deep Learning Models Implementation.

autoencoder latent-semantic-analysis pca-analysis rbm tsne

Last synced: 27 Nov 2025

https://github.com/blleshi/crypto_clustering

Clustering Cryptocurrencies

cryptocurrencies k-means pca-analysis

Last synced: 06 Jul 2025

https://github.com/prajakta1321/exoplanet-atmospheric-characterization-1

A machine learning project to classify exoplanets using light curve image data. Developed as part of the ML4SCI GSoC 2025 Test Task. Includes data processing, CNN-based model, and full report.

classification colab-notebook dbscan gsoc-2025 machine-learning-algorithms matplotlib-python ml numpy open-source pca-analysis python3 seaborn

Last synced: 10 Apr 2025

https://github.com/plambert777/pca-principal-component-analysis

This repository contains an R script for performing Principal Components Analysis (PCA) on a dataset. The script includes functions for data preprocessing, such as reading in data and imputing missing values, and for conducting PCA using both spectral decomposition and singular value decomposition (SVD). Additionally, the script calculates centroid

pca-analysis r rmd

Last synced: 02 Apr 2025

https://github.com/minhosong88/food-image-classification

This project is part of a lab assignment that focuses on food classification using the Food-11 image dataset.

classification machine-learning pca-analysis python

Last synced: 12 Mar 2025

https://github.com/yoyolicoris/iml_hw2

My implementation of homework 2 for the Introduction to Machine Learning class in NCTU (course number 1181).

kd-tree knn-classification pca-analysis

Last synced: 02 Apr 2025

https://github.com/seavleu/supervise-unsupervise-learning-projects

binary-classification clustering k-nn logistic-regression pca-analysis

Last synced: 24 Dec 2025

https://github.com/menaliu/crypto-market-states-analysis

R-based machine learning project using K-means, PCA, and Power BI to uncover hidden patterns in Bitcoin and USD markets.

bitcoin clustering cryptocurrency data-science financial-analysis machine-learning pca-analysis powerbi

Last synced: 06 Oct 2025

https://github.com/josepablodmg/python---unsupervised-learning-for-breast-cancer-diagnosis-patterns

This project explores unsupervised learning techniques on the Breast Cancer dataset. We used K-means and K-medoids clustering to detect patterns in tumor features, and apply PCA for dimensionality reduction and visualization. We compared clustering methods using silhouette scores and interprets the clusters in the context of tumor malignancy.

breast-cancer clustering dimensionality-reduction k-means-clustering k-medoids machine-learning pattern-detection pca-analysis python sklearn unsupervised-learning

Last synced: 07 Oct 2025

https://github.com/norafrn/customer-clustering

Implemented a full K-Means clustering pipeline using Python, scikit-learn, and Pandas to segment customers in the Instacart dataset based on shopping behaviour. Automated preprocessing, feature scaling, and visualization (PCA, heatmaps).

heatmap k-means-clustering pandas pca-analysis sckit-learn

Last synced: 09 Oct 2025

https://github.com/ahsan-83/machine-learning-stanford-online

Machine Learning Specialization course offered by Stanford Online on Coursera

anomaly-detection classification clustering cost-function gradient-descent large-scale-machine-learning linear-algebra linear-regression logistic-regression machine-learning-algorithms neural-networks pca-analysis photo-ocr recommender-systems regularization supervised-learning support-vector-machines unsupervised-learning

Last synced: 17 Oct 2025

https://github.com/yoyolicoris/IML_HW2

My implementation of homework 2 for the Introduction to Machine Learning class in NCTU (course number 1181).

kd-tree knn-classification pca-analysis

Last synced: 18 Oct 2025

https://github.com/samuellucas97/textmining-devopseducation

Applying Text Mining technique in DevOps Challenges and Recommendations to teach

information-gain notebook-jupyter pca-analysis text-classification weka-java

Last synced: 18 Oct 2025

https://github.com/pranav-0309/classifying-penguins

Classifying penguins from unlabeled data

elbow-analysis kmeans-clustering pca-analysis unsupervised-learning

Last synced: 26 Oct 2025

https://github.com/leftcoastnerdgirl/unsupervised_learning

This project is the first step in machine learning, using K Means and Principal Component Analysis.

kmeans-clustering pca pca-analysis principal-component-analysis unsupervised-learning unsupervised-machine-learning

Last synced: 07 Sep 2025

https://github.com/recker-dev/iot-healthcare-network-traffic-attack-predictor

A machine learning project to detect cyberattacks in IoT healthcare networks. Utilizes PCA for dimensionality reduction, data visualization for insights, and ANN for classification. Features a FastAPI backend and Streamlit UI for inference with labeled and unlabeled datasets.

ai deep-learning fastapi ml network-traffic-analysis network-traffic-classification neural-network pca-analysis streamlit

Last synced: 27 Mar 2025

https://github.com/sevilaymuni/e-commerce-fraud-detection

Detecting fraudulent transactions in e-commerce data provided by Vesta Corporation.

agglomerative-clustering banking-applications catboost-classifier feature-engineering fraud-detection imbalanced-dataset lgbmclassifier pca-analysis

Last synced: 29 Dec 2025

https://github.com/ayeshathoi/machine-learning-472

machine learning sessional works

adaboost fnn-from-scratch gmm-em logistic-regression pca-analysis svd

Last synced: 21 Feb 2025

https://github.com/fedecana00/bankruptcy-prediction

Accurately predicting companies' future failure with Python.

accuracy bankruptcy-prediction confusion-matrix data-science data-visualization feature-engineering feature-selection fine-tuning kaggle-dataset modelling pca-analysis plotting preprocessing python recall solution university xgboost-classifier

Last synced: 22 Feb 2025

https://github.com/notthestallion/pca3d-and-from-scratchprincipal-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