Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM

A function that can convert beam profiles to an equivalent I-profile, based on several distinct properties. WIP

An ordinary differential equation solving library in golang.

Multivariate Time Series Anomaly Detection Technique Code

Usage examples for the micompr R package

Families of multiple regression models

R package for displaying multivariate data through a quasi-Chernoff visualization

An Android library for generating simple A/B tests

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

An AB testing framework for static sites

An Implementation of Genetic Algorithm Multivariables in MATLAB

Multivariate quantile function from discrete approximation of continuous probability distribution function

Integrative Reduced Rank Regression with Multi-View Predictors

Multivariate independent comparison of observations

Tools to describe the temporal dynamics of populations of neurons

Supervised Component Generalised Linear Regression for mixed models

The given python code gives the data modeling and consists the following methods used: 1) Up sampling 2) Down sampling 3) Gridsearch for the selection of optimal combination of parameters 4) Application of Random Forest classifier 5) Dimensionality reduction using PCA

A generator for synthetic, multivariate & heterogeneous datasteams with probabilistically repeating patterns.

Source code for the module "Advanced Statistics" 📊

Two-Dimensional Data Whitening and Receiver Operational Characteristic Determination