PamelaPairo/maestria_DM

Materiales de las clases prácticas de AID y Aprendizaje Automático

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DimitrisKatos/health_stroke_prediction

Prediction possible strokes using RandomForest and PCA

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zhengxwen/SNPRelate

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development version only)

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carpentries-incubator/high-dimensional-analysis-in-python

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JD2112/ComplexPCA

a ggplot PCA with complex annotation

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brainhack-school2020/ADHDsubtypes_project

ADHD subtypes classification project with 3 different datatypes

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YogiOnBioinformatics/AALS-Epigenomics-Signal-Reproducibility

Determining reproducibility of Epigenomic signal for Answer ALS

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bhattbhavesh91/pca-multicollinearity

A simple example to show how Principal Component Analysis can be used to Address Multicollinearity

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Ashutosh27ind/telecomChurnPredictionModel

Build multiple logistic and tree based models and select best model to identify churners.

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Ashutosh27ind/logisticRegressionTelecomChurnCaseStudy

Data Science Project: To predict which factors leads to churn and find customers who are likely to churn.

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Ashutosh27ind/clustering_PCA_HELP_international

To categorize the countries using some socio-economic and health factors that determine the overall development of the country. Then you need to suggest the countries which the CEO needs to focus on the most.

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nachiket273/ML_Algo_Implemented

Bare-bone and simple implementations of few Machine Learning Algorithms

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biswajitsahoo1111/PCA

These are the codes for a blog post on Principal Component Analysis (PCA).

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windson/PCA-t-SNE

Principal Component Analysis and t-SNE

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aashrafh/CMP450

Solution of Pattern Recognition (CMP450) labs

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musevlt/zap Fork of ktsoto/zap

the Zurich Atmosphere Purge. Sky subtraction for MUSE.

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Ohara124c41/MLND-Customer_Segments Fork of nd009/creating_customer_segments

Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.

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gugarosa/facial_recognition_pca

😉 This is the repository containing a simple, yet powerful, resolution of a facial recognition task using PCA.

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rohitdavas/Classical-machine-learning

classical machine learning algorithms implemented in Scikit-learn

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Praddysingh568/Prediction-of-Student-Alcoholism-and-Academic-Performance

This repository presents a study on predicting student alcoholism and academic performance using machine learning. By analyzing a dataset of student attributes, we develop models to forecast academic outcomes and alcohol usage.

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roshan076/PCA

Principal Component Analysis on different dataset.

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lowhung/naive-bayes-pca-mds

Implementations of MAP, Naive Bayes, PCA, MDS, ISOMAP and some compression

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ansost/NoClu

Code for the AP project for the class 'Advanced Python for NLP' on Russian noun clustering.

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tengjuilin/vampire-analysis

VAMPIRE (Visually Aided Morpho-Phenotyping Image Recognition) analysis quantifies and visualizes heterogeneity of cell and nucleus morphology.

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alonfnt/pcax

Minimal Principal Component Analysis (PCA) implementation in JAX

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RezaDastranj/PCA-GEE

Forecasting Mortality Rates: Unveiling Patterns with a PCA-GEE Approach

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MoritzM00/drcomp

Comparison of dimensionality reduction (drcomp)

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manoharpalanisamy/Machine-Learning

It consists of base machine learning algorithms and applied mathematics has Involved

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NicholasSynovic/CAHPR 📦

Cluster Analysis of Housing Prices in Relation to Crime (CAHPR) is a student led project to analyze both crime and housing data to find assess different factors that impact housing prices in the city of Chicago, Illinois in the year 2010.

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Nikronic/Pattern-Recognition-IUST

The pattern recognition assignments and solutions for fall 2019 by Dr. Analouei at Iran University of Science and Technology

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gulabpatel/Machine-Learning

Regression, Classification, Clustering, Dimension-reduction, Anomaly detection

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aurelienmorgan/edx-movielens

Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'

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rdolor/research-collections

Contains a collection of my experimentations, explorations, and data analysis of random datasets

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apachecn/ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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parvvaresh/ML-algorithms-from-Scratch

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

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hebaghazali/AttendanceCV

A face recognition class attendance application using a machine learning SVM classifier and more.

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aditijoshi613/Image-Classification

Classification model to categorize clothing items into distinct classes

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aditijoshi613/Patient-Survival-Prediction

Classification model for predicting whether a patient is at risk of death during hospitalization

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tschuelia/Pandora

Uncertainty estimation toolkit for dimensionality reduction on population genetics data.

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mashaan14/only-numpy

Machine learning algorithms implemented using numpy functions.

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dheeraj-19/MachineLearning

Repo to store all the concepts and codes that I have learned and worked on in the Machine Learning field

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hashimg/facial-recognition-using-PCA

Reconstructed images using PCA, thereby reducing dimensionality and size as compared to the original image.

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MafaldaSFerreira/Atlherr_inversion_evol

Evolutionary genomics of chromosomal inversions in Atlantic herring

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nicrie/xmca

Maximum Covariance Analysis in Python

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Neloy-Barman/Customer-Purchase-Behavior-Prediction-

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KentaItakura/blog-post-about-PCA

このページでは、主成分分析について詳しく説明し、MATLABコードによる実装を通した理解の確かめや、Pythonコードによる主成分分析の例を示します。

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kientech/Mathematics-for-Machine-Learning-Specialization

Mathematics for Machine Learning Specialization

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abhishek0508/machine-learning

Implementation of some famous machine learning algorithm from scratch

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XORring-Samurai/Country-Capital-Mapper

Given country-capital pairs and their embeddings in vectorized forms to predict the capitals of countries from a given set of options.

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vyraun/Half-Size

Code for "Effective Dimensionality Reduction for Word Embeddings".

Language: Python - Size: 6.67 MB - Last synced: about 1 month ago - Pushed: about 3 years ago - Stars: 125 - Forks: 24

stemangiola/tidyseurat

Seurat meets tidyverse. The best of both worlds.

Language: R - Size: 45.4 MB - Last synced: 26 days ago - Pushed: 3 months ago - Stars: 142 - Forks: 12

adelelwan24/Credit-Card-Customer-Segmentation

This repository implements customer segmentation techniques to analyze credit card user behavior and identify distinct customer groups. By leveraging Python libraries like pandas, Scipy and scikit-learn.

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Himanshu-Barange/Wine-Data-Clustering-and-Label-prediction-using-KMeans-and-PCA

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HansRen1024/SVM-classification-localization

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

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JMartinArocha/ClusteringBankClients

This repository contains a practical exercise focused on clustering techniques, designed to train and enhance skills in data analysis and machine learning.

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phillity/Data-Mining-Machine-Learning

Data Mining and Machine Learning Algorithm Implementations

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hvignolo87/House-Prices-Predictions

House prices predictions with advanced regression techniques is a competition I've participated on Kaggle recently.

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saman-nia/PCA-Eigenfaces

Image Signal Processing

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irenegrone/DimentionalityReduction-PCA

Application of Principal Component Analysis

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lukemshepherd/PCA-2

Functions that read, plot and analyses voxels, STL or pointcloud arrays

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tawfik-s/ML-Algo

my machine learning practices for my third year in MFCI CS department

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amit-hm/Age-Prediction-From-Facial-Images

Predict age of the person given one's photo.

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evrial/PCA-dimensionality-reduction

Minimal PCA library based on numpy and examples of practical dimensionality reduction use of the principal components in ETF market analysis.

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JM1/python-edamer

EDAMER: Exascale Data Analysis Methods with Enhanced Reusability

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JM1/hbrs-mpl

Generic C++17 library for distributed scientific computing (HPC)

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h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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erichson/rSVD

Randomized Matrix Decompositions using R

Language: R - Size: 27.5 MB - Last synced: 21 days ago - Pushed: about 3 years ago - Stars: 96 - Forks: 27

dajimenezriv/papers_tu_wien

Papers from two subjects of the TU Wien University.

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xarray-contrib/xeofs

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

Language: Python - Size: 33.3 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 82 - Forks: 16

tianrui-qi/WOS-Analysis

Windows of susceptibility (WOS) analysis for brain diseases including zika and cognitive disorder.

Size: 3.48 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

mrchandrayee/Customer-Segmentation

Language: Jupyter Notebook - Size: 771 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

YertleTurtleGit/graph-pca

Performs PCA with optional graph distance for neighborhood composition.

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shromana98/PCA-Tutorial

My recent exploration into Principal Component Analysis (PCA) on a well-known Iris Flower Dataset!

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AdrianaAceroFV/PENGUINS_CLUST

Trabajo presentado para el Máster de Big Data, Data Science e IA sobre Clustering y PCA

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viodotcom/ppca_rs

Python+Rust implementation of the Probabilistic Principal Component Analysis model

Language: Rust - Size: 288 KB - Last synced: 15 days ago - Pushed: 2 months ago - Stars: 34 - Forks: 2

thitirat-mnc/DataSci-ML-Portfolio

A compilation of my projects in Data Science, Artificial Intelligence, Machine Learning, Natural Language Processing, and Data Analytics

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zenklinov/Clustering_K-Means_Metrics_PCA

Comparing Euclidean Distance, Manhattan Distance, Cosine Distance, with PCA in K-Means Clustering

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jan-golda/AGH-BigDataVisualization 📦

AGH University of science and technology - Big data visualization Labs - Solutions

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Khsaadi/master_thesis_obstacles_detection

This repository contains the implementation of my master thesis project on the topic of obstacles detection for mobile robots.

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devops4me/docker-certificate-authority-manager

Use docker, the AWS Cli (acm-pca) and openssl to create and manage an on-premises (root) and cloud-based (subordinate) private certificate authority.

Language: Shell - Size: 7.81 KB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 9 - Forks: 4

dsgiitr/VisualML

Interactive Visual Machine Learning Demos.

Language: CSS - Size: 70.1 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 116 - Forks: 20

dayanadithyan/Specters-of-conflict

Viability of spectral clustering for dimensionality reduction on large disconnected graphs. Data: Spatiotemporal conflit, ACLED on Sri Lanka (2010-20)

Language: Python - Size: 352 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

yuhexiong/cbow-word2vec-pca-nlp-python

Language: Python - Size: 313 KB - Last synced: 10 days ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

lexxai/goit_python_ds_hw_06

Модуль 6. Навчання без вчителя.  Кластерізація. KMeans. Principal Component Analysis

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erichson/spca

Sparse Principal Component Analysis (SPCA) using Variable Projection

Language: R - Size: 16.9 MB - Last synced: 10 days ago - Pushed: about 6 years ago - Stars: 58 - Forks: 10

Magic-Abdou/Objectifs-de-developpement-durable

Une petite étude sur R ( faite avec mon binôme ) sur l'éradication de la pauvreté en France à partir des ODDs fixés par les Nations Unies

Size: 2.72 MB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

Magic-Abdou/R-Data-Analysis-Projects

Some R data analysis projects we have been given as class projects so far. Will keep updating the repository all along the journey.

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purrvaja/Unsupervised-Learning

Unsupervised learning techniques on the wholesale customers dataset

Language: Jupyter Notebook - Size: 200 KB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

Aalaa4444/Hamming_Network

Hamming Network implementation using PCA implementation from scratch

Language: Jupyter Notebook - Size: 1.16 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

anishLearnsToCode/ml-workshop-wac-1

Workshop on ML/AI 🧠 using Python 3 🐍 with introduction to Language Basics, Constructs, Linear Regression, Multi-Linear Regression, Logistic Regression, KNN and Neural Networks @ What After College 🎓.

Language: Jupyter Notebook - Size: 43.1 MB - Last synced: 30 days ago - Pushed: over 3 years ago - Stars: 8 - Forks: 6

mhernan88/RelimpPCR

Relative Importance PCA Regression in R

Language: R - Size: 157 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 2 - Forks: 1

Drykx/PCA-Autoencoders

Course project @EPFL in Math-412.

Size: 1.69 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

1feres1/pynmranalysis

A Python Toolbox for preprocessing and analysing NMR data

Language: Jupyter Notebook - Size: 7.18 MB - Last synced: 14 days ago - Pushed: almost 3 years ago - Stars: 3 - Forks: 1

contactrameezraja/Machine-Learning-with-Python-projects

Python code for Machine Learning Algorithms

Language: Jupyter Notebook - Size: 33.3 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

gpbonillas/data-mining-python

Minería de datos usando Python

Language: Jupyter Notebook - Size: 6.99 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

tim-burr/tim-burr.github.io

Timbur: Projects, Tips, & Tricks.

Language: CSS - Size: 174 KB - Last synced: about 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

marianaacv/music_recommendation_study

In this project I implement a recommendation system using Spotify's API and exploring different techniques of dimensionality reduction and clustering

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alirezarahimi1393/Classical-Learning

Welcome to my Classical Learning Projects repository, where I showcase my work in the fields of supervised and unsupervised learning. Here, you'll find code and datasets for various projects, such as classification and clustering tasks, implemented using popular algorithms like decision trees, neural networks, and k-means.

Language: Jupyter Notebook - Size: 309 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

rishisinghlive/Advance-House-Price-Prediction

This is a kaggle competition

Language: Jupyter Notebook - Size: 7.23 MB - Last synced: 2 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

JuliaStats/MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Language: Julia - Size: 1.32 MB - Last synced: 2 months ago - Pushed: 4 months ago - Stars: 365 - Forks: 84