OCaml Random Forests

Hippocampal Segmentation Factory (HSF). A one-liner Deep Learning tool to segment raw T2w (and T1w) MRIs into hippocampal subfields in few seconds. Trained on 700+ manually segmented hippocampi.

Classify emotions like happy, fear, neutral, etc. using CNN applying bootstrap aggregation approach

Code to reproduce figures of Debeire, K., Runge, J., Gerhardus, A., Eyring, V. (2024). Bootstrap aggregation and confidence measures to improve time series causal discovery

Analysis of a dataset using different techniques to train and evaluate models with unbalanced classes, aimed at reducing bias and predicting accurate credit risk.

The project contains an implementation of Bagging Classifier from scratch without the use of any inbuilt libraries.

Using deep learning to predict whether students can correctly answer diagnostic questions

This Project is an implementation of Decision Trees and Random Forests using bootstrap aggregation(Bagging).

machine learning regression

Data Mining and Predictive Analyst - Fall 2021 - Predictive Modeling, Loss Reduction, Optimization Algorithms, Regularization (Ridge, Lasso, Elastic Net), Dimensionality Reduction, Ensemble Models, Bootstrap Aggregation, Random Forests, Support Vector Machines (SVM), Neural Networks.