multivariate-regression

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chhayac / Machine-Learning-Notebooks

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

Updated Apr 3, 2020
Jupyter Notebook

elcorto / pwtools

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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

Updated Aug 28, 2023
Python

dependable-cps / adversarial-MTSR

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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

Updated Sep 30, 2020
Python

andreachello / Applied-Econometric-Time-Series

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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

Updated Feb 10, 2020
Jupyter Notebook

OpenMendel / MendelIHT.jl

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Iterative hard thresholding for l0 penalized regression

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

Updated Sep 15, 2023
Julia

tstran155 / Optimization-of-building-energy-consumption

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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

Updated Mar 15, 2023
Jupyter Notebook

robinthibaut / skbel

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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

Updated Feb 20, 2024
Python

abmantz / lrgs

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Code to perform multivariate linear regression using Gibbs sampling

linear-regression multivariate-regression gibbs-sampler

Updated Mar 15, 2022
Jupyter Notebook

JBris / multivariate_analysis_examples

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Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://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

Updated Oct 4, 2023
Python

tirthajyoti / GradDescent

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MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

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

Updated Jun 22, 2017
MATLAB

mehdi149 / Learning-projects

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python implementation of process mining and machine learning algorithm

machine-learning-algorithms logistic-regression regression-models process-mining multivariate-regression alpha-miner

Updated Oct 31, 2018
Jupyter Notebook

bhattbhavesh91 / multivariate-adaptive-regression-splines-demo

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A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python

python mars regression-models multivariate-regression regression-analysis adaptive-regression

Updated May 29, 2021
Jupyter Notebook

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

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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.

linear-regression plotly data-visualization data-analysis scatter-plot polynomial-regression histograms regression-models r-programming multivariate-regression multivariate-analysis boxplots bivariate-analysis price-prediction violinplot barplots univariate-analysis automobile-dataset

Updated Nov 9, 2020
R

RiteshPuvvada / Machine-Learning-Lab

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A cluster of Machine Learning algorithms

machine-learning random-forest linear-regression machine-learning-algorithms neural-networks logistic-regression svm-classifier multivariate-regression univariate-regressions id3-algorithm linear-svm navie-bayes-algorithm candidate-elimination knn-algorithm multiclass-svm weighted-knn find-salgorithm kernal-svm

Updated Nov 18, 2021
Jupyter Notebook

yudai-il / Multivariate-Markov-Switching-Regressions

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Multivariate Markov-Switching Models Regressions Framework

multivariate-regression markov-switching-model

Updated May 14, 2020
Jupyter Notebook

kdyson / R_Scripts

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Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.

r ecology multivariate-regression adonis aic chisquare permanova indicator-species multipatt chisquare-test chisquared

Updated Feb 26, 2024
R

atdemarco / svrlsmgui

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A graphical multivariate lesion-symptom mapping toolbox

machine-learning matlab-toolbox brain-imaging multivariate-regression lesion-symptom-mapping

Updated Feb 8, 2022
MATLAB

yashksaini-coder / Multivariate-Logistic-Regression---Telecom-Churn

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Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

machine-learning supervised-learning logistic-regression multivariate-regression supervised-machine-learning