Synthetic data generation for tabular data
Synthetic Data Generation for mixed-type, multivariate time series.
A Regression approach for the automated detection of the Parkinson's Disease based on an Ensemble of Neural Networks.
A processing of a simplified video game dataset using k-nearest neighbors, and using Synthetic Data Vault and Regression/Classification models to verify synthetic model accuracy
Industrial Practicum Project
Mini Project about synthetic data generation by implementing CTGAN algorithm on tabular data
In this repository, I tried to investigate the utility of synthetic data generated by DataSynthesizer and Synthetic Data Vault in machine learning tasks. I applied the Random Forest, Logistic Regression, Support Vector Machine, K-Nearest Neighbor, and Naive Bayes algorithms to the synthetic data and made a comparison.
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