GitHub

Organize, prepare, classify using PCA, standardization, and normalization, and apply the appropriate machine learning method for the task

There was an error while loading. Please reload this page. In this assessment, we explore a dataset containing 4601 rows and 59 columns, aiming to uncover insights ...
Gehost op MSN

High Dimensional Visualization Using PCA with Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. Medicare users could soon lose perks they love — like choosing their ...
IEEE

Feature extraction using PCA and Kernel-PCA for face recognition

Abstract: The face recognition system consists of a feature extraction step and a classification step. In this paper, the researcher studies the use of linear and nonlinear methods for feature ...
GitHub

Omorusi/Support_Vector_Machines

This project classifies text messages as either spam or ham (not spam) for feature extraction and Support Vector Machines (SVM) for classification. Python: The programming language used for model ...
eLife

RETRACTED: Biases of Principal Component Analysis (PCA) in Physical Anthropology Studies Require a Reevaluation of Evolutionary Insights

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
IEEE

Python Based Face Recognition for Person Identification Using PCA and 2DPCA Techniques

Abstract: In this paper we proposed a face recognition techniques based on Principal component analysis and two Dimension Principal Component Analysis using python. Many researcher’s use Matlab ...
The Vicksburg Post

PCA cleaning the glass Eagles use hustle, speed to improve rebounding

Sign up for Morning HeadlinesDaily at 5 a.m., we send you the news you need to know in Vicksburg & Warren County. Sign up for Morning HeadlinesDaily at 5 a.m., we ...