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?

Predicting House Prices — End-to-End Regression Workflow

This is a fully reproducible proof-of-concept pipeline, including all the code, the applied dataset, the state centroids as signatures, and the execution instructions to run the code, for our proposed convergent multi-approach rsfMRI study. We aimed to decode aberrant dFC patterns of intrusive symptoms in schizophrenia.

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.

Prediction of Sales Prices of Houses

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.

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

Logistic Regression Model for Perfume Reccomendations

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