Sujet: "pca-algorithm"
snayan06/Dimensionality-Reduction-Technique-PCA-LDA-ICA-SVD
In this we are going to learn about how to impliment PCA algorithm which is useful for Dimentionality Reduction
langage: Jupyter Notebook - taille: 769 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a environ 5 ans - étoiles: 4 - forks: 0
SNAILGROUP-AI/STUDY-ML
머신러닝 알고리즘 학습 내용 정리
taille: 85,9 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a plus de 2 ans - étoiles: 2 - forks: 0
RobCyberLab/Machine-Learning-Classifier
🤖Machine Learning Classifier⚙️
langage: Python - taille: 249 ko - dernière synchronisation: il y a 6 mois - enregistré: il y a 10 mois - étoiles: 1 - forks: 0
AmirHHasani/Manual-PCA-TSNE
langage: Jupyter Notebook - taille: 1,05 Mo - dernière synchronisation: il y a presque 2 ans - enregistré: il y a environ 3 ans - étoiles: 1 - forks: 0
Abdelrahman13-coder/Unsupervised-Machine-Learning
Implementing Unsupervised machine learning algorithms from scratch and using them in various applications
langage: Jupyter Notebook - taille: 4,12 Mo - dernière synchronisation: il y a 4 mois - enregistré: il y a environ 3 ans - étoiles: 1 - forks: 0
ArchanaRohilla/Cryptocurrencies
langage: Jupyter Notebook - taille: 7,97 Mo - dernière synchronisation: il y a presque 2 ans - enregistré: il y a presque 5 ans - étoiles: 1 - forks: 0
NikosMav/SVM-and-PCA
This Python notebook demonstrates the application of Support Vector Machines (SVM) for classification tasks on the MNIST dataset. The notebook covers data preprocessing, hyperparameter tuning, and dimensionality reduction using PCA.
langage: Jupyter Notebook - taille: 17,6 ko - dernière synchronisation: il y a presque 2 ans - enregistré: il y a presque 2 ans - étoiles: 0 - forks: 0
irsyadnb/Algeo02-21072
Face Recognition using Eigenface with PCA Algorithm with Python
langage: Python - taille: 368 Mo - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a plus de 2 ans - étoiles: 0 - forks: 1
MichaelFish199/PrincipalComponentAnalysis-Implementation
This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important underlying patterns in a dataset.
langage: Jupyter Notebook - taille: 210 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a presque 3 ans - étoiles: 0 - forks: 0
kelhoussaini/USA_Arrests
Violent Crime Rates by USA State, putting Kmeans and PCA into practice
langage: Jupyter Notebook - taille: 603 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a plus de 3 ans - étoiles: 0 - forks: 0
EslamElbassel/Implementing-PCA-for-dimensionality-reduction
Implementing PCA (Principal Component Analysis) from scratch for Dimensionality Reduction which is Reducing the number of input variables for a predictive model
langage: Python - taille: 2,93 ko - dernière synchronisation: il y a presque 2 ans - enregistré: il y a plus de 3 ans - étoiles: 0 - forks: 0
DataEngel/Heart-Disease-UCI---Classification
It is a subset of variables from a study carried out in 1988 in different regions of the world to predict the risk of suffering a heart-related disease.
langage: Jupyter Notebook - taille: 109 ko - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a plus de 4 ans - étoiles: 0 - forks: 0
vmieres/Amazon-Web-Services
This repo is about Clustering cryptocurrencies. Using AWS SageMaker and S3.
langage: Jupyter Notebook - taille: 2,06 Mo - dernière synchronisation: il y a plus de 2 ans - enregistré: il y a plus de 4 ans - étoiles: 0 - forks: 0
