The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective (CVPR'22).
A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.
Apply data preprocessing methods to the Kaggle HR dataset and train machine learning models with scikit learn
Quick visualization of linear decision boundaries for a scratch-implemented perceptron classifier. Model evaluates loss function with each weight / bias update and will store away best performing parameters for later use.
Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...
Machine learning experiments (OCI AI Foundations) testing model limits: Project 1: Neural networks effortlessly solving non-linear 2D classification. Project 2: Linear models outperforming complex neural networks on high-dimensional biological data by avoiding overfitting.
Projects developed under the Machine Learning college chair during the 2010/2021 school year
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