A Python module to perform exploratory & confirmatory factor analyses.
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Updated
Feb 8, 2024 - Python
A Python module to perform exploratory & confirmatory factor analyses.
[DEPRECATED] The old Code for DC website
CFA (Colour Filter Array) demosaicing algorithms for Python
Investment portfolio and stocks analyzing tools for Python with free historical data
Parkinson's disease data analysis from uci machine learning repository dataset.
This project is composed of comprehensive notes of CFA I. In the Jupyter Notebook files, different datasets are introduced for applying Python in financial analysis. Written notes and datasets are excerptions from the CFA Institute, SaltSolutions and other web sources.
CFA (Colour Filter Array) Demosaicing Algorithms for C++
From a debugger's view, Let's explore the computer world! How does compiler, linker and debugger coordinate with each other around the program written in specific programming language? How does a debugger work? If we develop a debugger for go programming language, we must master go type system, runtime... and some Operating System internals. OK,…
Stata command: Calculate AVE (average variance extracted) and CR (composite factor reliability) for CFA (confirmation factor analysis) after running SEM by Stata do program. This program was coded based on Mehmet Mehmetoglu's "condisc" program. Thanks a lot to the greate contribution of Mehmet!
Demosaicing a Bayer mask of a fitsfile for astronomical data.
Going from a CFA RAW format image to a full-color RGB image through the process of applying the Bayer filter and Demosaicing by interpolating the missing parts of the channels with different algorithms, in the frequency and spatial domains.
Application of Demosaicking and Super Resolution on Bayer Image with Convolutional Neural Network
Este estudio investiga la efectividad de la imputación múltiple en el análisis factorial confirmatorio (AFC) con datos de liderazgo, donde se simularon valores perdidos (MCAR) en un 40% de la muestra.
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