Here we have fully implemented a number of algorithms related to machine learning

An Open-Source, synthetic finger anatomic dataset

EDA of Physionet Data set regarding "A Large Scale 12 Lead Electrocardiogram Database for Arrhythmia Study 1.0.0". This project focuses on the preprocessing of electrocardiogram (ECG) signals and utilizes Principal Component Analysis (PCA) for dimensionality reduction

Computation of training set (X^T * X) and (X^T * Y) in a cross-validation setting using the fast algorithms by Engstrøm (2024).

Beta Machine Learning Toolkit

A CLI tool to perform a pre-change validation on Nexus Dashboard Insights.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

This repository features a comprehensive ML pipeline for supervised learning tasks, covering data collection, cleaning, EDA, feature engineering, model training, and evaluation.

A RTI library for creating and visualizing Reflectance Transformation Imaging

Data and results for an MPhil Thesis entitled "A morphological and chemical characterization of archaeological charred grain: with implications for isotopic analysis"

This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

This repository constitutes the solutions for the weekly programming assignments as part of CSEN 240 Machine Learning offered by Dr. Yen Kuang Chen at Santa Clara University.

📊 Computation and processing of models' parameters

This Project is regarding Compute Vision in which VGG16 Model is used to detect and classify images based upon there features

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

Em 2016, ministrei, em parceria com minha querida colega Thais Sobjak, um minicurso de Ecologia Numérica para os graduandos de Ciências Biológicas da Universidade Estadual do Oeste do Paraná (UNIOESTE). O curso foi bem básico e apresentamos os conceitos e práticas de PCA e Cluster em R. A Thais ensinou a parte de índices ecológicos.

interactive Bioinformatics Exploratory Tools

Process Analytics Course 2023 delivered by Dr. Sal Garcia @ The Sargent Center

Grouping of drinks according to their nutritional values, making it easier to categorize them in a future catalog, increasing organization and facilitating the search depending on individual preferences

Group ICA/IVA software (MATLAB)