Implementation of the Random Dilated Shapelet Transform algorithm along with interpretability tools. ReadTheDocs documentation is not up to date with the current version for now.

A repository to explore the concepts of applied econometrics in the context of financial time-series.

📈 high level wrapper for parallel univariate time series forecasting 📉

Rotation-Based Iterative Gaussianization algorithm.

Multivariate clustering of weather data. This is part of my research internship.

Source code for the module "Advanced Statistics" 📊

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

R/Bioconductor package - STRUCT (STatistics in R Using Class Templates) Toolbox

R/Bioconductor package - STRUCT: STatistics in R Using Class Templates

ASURV: Astronomy SURVival analysis

Student's t distribution cumulative distribution function (CDF).

Poisson distribution cumulative distribution function (CDF).

Feature selection comparison in breath cancer dataset

In this repo, different techniques will be done to analyze Anomaly detection

Lévy distribution probability density function (PDF).

Analysis about univariate and bivariate MLE between the diagnosis group of 'Alzheimer's Disease', 'Mild Cognitive Impariment', and 'Cognitive Normal'.

NW.UnivariateForecasting is a library to perform Univariate Forecasting on your own values. Time Series Forecasting is a machine learning technique that aims to predict the next values in a time series when a subset of subsequent values is provided ("sliding window").

Gamma distribution expected value.

Poisson distribution.