OpenFOAM framework for simulation of fluid flows using regularized (QGD/QHD) equations.
The code of the paper "Regularized Spatial–Temporal Graph Convolutional Networks for Metro Passenger Flow Prediction", IEEE Transactions on Intelligent Transportation Systems, 2024.
Predicting insurance charges using scikit-learn and TensorFlow
📄📈 ML project based on image pre-processing and classification and on creating and implementing an algorithm for Regularized non-Negative Matrix Factorization.
Minimizes the penalty
Houses a series of projects I worked on for a course in Data Mining that I took in my Ph.D. Data Science program at UTEP in the Fall of 2022. Covers areas such as Regularized Logistic Regression, Optimization, Kernel Methods, PageRank, Kernel PCA, Association Rule Mining, Anomaly Detection, Parametric/Nonparametric Nonlinear Regression, etc.
Base saturation percentage determination using shrinkage method. Due to the multicollinearity issue, we chose shrinkage/penalized/regularized regression. Since, we have small number of samples, we had no luxury of having separate test set of data, so we did iterated k-Fold cross validation.
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