A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.
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Updated
Feb 8, 2019 - R
A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.
A Synthetic data generator.
Implementation of "Synthetic Data Generation and Classification of Histopathological Images"
Credit Risk Analysis : Classification Models that can predict if a loan is likely to default using Decision Trees/Ensemble methods
Kaggle Competition
Project Page (ObjectDR)
ARC tasks compatible with the Abstraction and Reasoning Corpus json file format
Principal Component Analysis or PCA is a commonly used dimensionality reduction method. It works by computing the principal components and performing a change of basis.
The objective of my experiment is to analyze the performance of Random Forest, Naive Bayes, Logistic Regression, and K-nearest neighbors machine learning models for evaluation of the utility of synthesized data for fraud detection.
Создание синтетического датасета на основе cимуляции свойств физики SEM
GUI для теста алгоритмов создания синтетического датасета
A methodology to generate synthetic clinical animal data using generative diffusion models.
Relational database about restaurants & UI of customer transaction patterns
Generate synthetic time-series or augment existing ones
This repo contains tools to produce a fake pandas dataframe from an existing one.
A simple web application to generated synthetic data from a relational tables
A Python application for generating and ploting synthetic blobs datasets for classification and clustering.
Indoor Synthetic Data Generation: A Systematic Review
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