multivariate-regression

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chhayac /Machine-Learning-Notebooks

Star147

15+ Machine/Deep Learning Projects in Ipython Notebooks

machine-learning notebook tensorflow linear-regression keras ipython-notebook iris keras-neural-networks tensorflow-models multivariate-regression keras-tensorflow iris-dataset cifar-10

UpdatedApr 3, 2020
Jupyter Notebook

elcorto /pwtools

Star71

pwtools is a Python package for pre- and postprocessing of atomistic calculations, mostly targeted to Quantum Espresso, CPMD, CP2K and LAMMPS. It is almost, but not quite, entirely unlike ASE, with some tools extending numpy/scipy. It has a set of powerful parsers and data types for storing calculation data.

python sqlite molecular-dynamics lammps preprocessing quantum-espresso polynomial-regression cp2k multivariate-regression radial-basis-function kernel-regression postprocessing radial-distribution-function ase parameter-sweep kernel-ridge-regression quasi-harmonic-approximation cpmd radial-pair-correlation-function

UpdatedMay 20, 2025
Python

andreachello /Applied-Econometric-Time-Series

Star41

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

statistics financial econometrics cointegration multivariate-regression timeseries-analysis univariate timeseries-forecasting garch-models applied-econometrics

UpdatedFeb 10, 2020
Jupyter Notebook

tstran155 /Optimization-of-building-energy-consumption

Star31

This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.

machine-learning-algorithms cross-validation multi-objective-optimization pyomo deterministic bayesian-optimization hvac nonlinear-optimization nsga-ii multivariate-regression stochastic-optimization ipopt probabilistic-inference genetic-optimization-algorithm latin-hypercube-sampling building-energy xgboost-regression sobol-indices gurobi-solver pymoo

UpdatedMar 15, 2023
Jupyter Notebook

dependable-cps /adversarial-MTSR

Star30

deep-learning time-series cnn cybersecurity lstm gru regression-models multivariate-regression adversarial-machine-learning adversarial-examples adversarial-attacks time-series-forecasting time-series-regression multivariate-time-series

UpdatedSep 30, 2020
Python

robinthibaut /skbel

Sponsor

Star24

SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.

machine-learning sklearn bayesian-inference geology gaussian-processes groundwater pfa multivariate-regression hydrogeology gaussian-process-regression gaussian-process multiple-output-regression

UpdatedJul 9, 2024
Python

OpenMendel /MendelIHT.jl

Star23

Iterative hard thresholding for l0 penalized regression

gwas sparsity julia regression model-selection multivariate glm genetic-algorithms multivariate-regression sparse-linear-solver

UpdatedSep 15, 2023
Julia

SergioIommi /Quant-Trading-Dashboards

Star22

Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression

machine-learning mongodb dashboard nosql linear-regression scikit-learn pymongo regression feature-selection dash xgboost kalman-filter yahoo-finance quantitative-trading multivariate-regression statistical-arbitrage mean-reversion quant-trading pair-trading systematic-trading

UpdatedNov 1, 2023
Jupyter Notebook

abmantz /lrgs

Star20

Code to perform multivariate linear regression using Gibbs sampling

linear-regression multivariate-regression gibbs-sampler

UpdatedMar 15, 2022
Jupyter Notebook

JBris /multivariate_analysis_examples

Star18

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved fromhttps://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

multivariate-distributions pca-analysis pca multivariate dimensionality-reduction concrete mds factor-analysis dimension-reduction multivariate-data multivariate-regression multivariate-analysis partial-least-squares-regression multivariate-statistics multivariate-linear-regression pls canonical-correlation-analysis nmds partial-least-squares redundancy-analysis

UpdatedNov 20, 2024
Python

tirthajyoti /GradDescent

Star18

MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

matlab linear-regression gradient-descent octave-scripts feature-engineering matlab-script multivariate-regression

UpdatedJun 22, 2017
MATLAB

Defcon27 /Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R

Star17

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.