loocv

Leave-one-out Cross-validation for regression models

Weighted and iterative KDE to improve outlier detection

This project aims to understand and implement all the cross validation techniques used in Machine Learning.

Wine Goodness Prediction

Repository containing my coursework in R showing my proficiency in a variety of machine learning algorithims.

General methods for machine learning for digital biomarker discovery.

What if we could leverage the many Disney intellectual properties and continue to earn revenue for an extended amount of time after the initial movie release?

This study decodes intrusive thoughts using resting-state fMRI data from patients with schizophrenia and schizoaffective disorder.

Data Mining project (Fall2023) involving the classification and clustering of Sars-Cov-2 gene expression RNA-seq data

Data is a Drag: Exploring Classical Machine Learning Algorithms on Small and Imbalanced Datasets

Using Linear and Quadratic discriminant analysis, KNN and Naive Bayes to develop a tool that can classify wines into one of the three types based on the other variables provided.

Paper: A Comparative Study of Interpretable Machine Learning Models for Power Estimation of VLSI Circuits

Predicting House Prices — End-to-End Regression Workflow

Action recognition with lSTM and GRU on ucf11 dataset with leave-one-out cross-validation(LOOCV) which is used in "Temporal Relations of Informative Frames in Action Recognition" article.

Using stylometry (with a bag-of-words approach) to create machine learning models that predict whether a given text is human-written or generated by ChatGPT. Collaborative project with Mahee Rathod and George Boutselis for Statistical Case Studies (MATH10102) at the University of Edinburgh. Awarded 83%.

Aplicando PCA e Regressão Logística em dados de máquinas industriais para fornecer manutenção.

Built LDA and QDA models on variables obtained from Principal Component Analysis (PCA) and Kolmogorov-Smirnov (KS) and tuned by leave-one-out cross-validation (LOOCV) to predict fraudulent online advertising click traffic

Reproducible leakage-aware machine-learning mineral prospectivity mapping workflow for the Gümüşler Pb–Zn–Cu system, NW Türkiye