multivariate-regression

There are 2 repositories under multivariate-regression topic.

chhayac / Machine-Learning-Notebooks
15+ Machine/Deep Learning Projects in Ipython Notebooks
ipython-notebook notebook machine-learning iris cifar-10 iris-dataset tensorflow-models tensorflow keras-tensorflow keras-neural-networks keras linear-regression multivariate-regression
Language:Jupyter Notebook 84
elcorto / pwtools
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 quantum-espresso lammps ase cp2k cpmd postprocessing preprocessing quasi-harmonic-approximation parameter-sweep radial-basis-function kernel-regression kernel-ridge-regression multivariate-regression polynomial-regression radial-distribution-function molecular-dynamics radial-pair-correlation-function
Language:Python 60
Applied-Econometric-Time-Series
andreachello / Applied-Econometric-Time-Series
A repository to explore the concepts of applied econometrics in the context of financial time-series.
econometrics timeseries-analysis timeseries-forecasting garch-models univariate applied-econometrics statistics financial multivariate-regression cointegration
Language:Jupyter Notebook 29
dependable-cps / adversarial-MTSR
time-series time-series-forecasting time-series-regression adversarial-attacks adversarial-machine-learning adversarial-examples regression-models deep-learning lstm cnn gru cybersecurity multivariate-regression multivariate-time-series
Language:Python 28
OpenMendel / MendelIHT.jl
Iterative hard thresholding for l0 penalized regression
julia gwas model-selection genetic-algorithms glm multivariate regression sparsity multivariate-regression sparse-linear-solver
Language:Julia 22
tstran155 / Optimization-of-building-energy-consumption
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.
bayesian-optimization building-energy hvac machine-learning-algorithms sobol-indices xgboost-regression cross-validation latin-hypercube-sampling ipopt pyomo nonlinear-optimization gurobi-solver genetic-optimization-algorithm probabilistic-inference stochastic-optimization multivariate-regression multi-objective-optimization nsga-ii pymoo deterministic
Language:Jupyter Notebook 22
skbel
robinthibaut / skbel
SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
hydrogeology geology groundwater pfa machine-learning bayesian-inference gaussian-processes gaussian-process gaussian-process-regression sklearn multiple-output-regression multivariate-regression
Language:Python 20
abmantz / lrgs
Code to perform multivariate linear regression using Gibbs sampling
linear-regression multivariate-regression gibbs-sampler
Language:Jupyter Notebook 18
JBris / multivariate_analysis_examples
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-analysis multivariate-regression multivariate-statistics multivariate-linear-regression multivariate-data multivariate multivariate-distributions concrete pca pca-analysis factor-analysis canonical-correlation-analysis redundancy-analysis partial-least-squares-regression partial-least-squares pls nmds mds dimension-reduction dimensionality-reduction
Language:Python 16
tirthajyoti / GradDescent
MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression
gradient-descent linear-regression multivariate-regression matlab-script matlab feature-engineering octave-scripts
Language:MATLAB 16
mehdi149 / Learning-projects
python implementation of process mining and machine learning algorithm
machine-learning-algorithms process-mining alpha-miner regression-models logistic-regression multivariate-regression
Language:Jupyter Notebook 13
bhattbhavesh91 / multivariate-adaptive-regression-splines-demo
A small tutorial on MARS: Multivariate Adaptive Regression Splines in Python
multivariate-regression adaptive-regression mars regression-models regression-analysis python
Language:Jupyter Notebook 12
Defcon27 / Data-Analysis-of-Indian-Automobile-dataset-using-Machine-Learning-in-R
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.
automobile-dataset barplots bivariate-analysis boxplots data-analysis data-visualization histograms linear-regression multivariate-analysis multivariate-regression plotly polynomial-regression price-prediction r-programming regression-models scatter-plot univariate-analysis violinplot
Language:R 12
RiteshPuvvada / Machine-Learning-Lab
A cluster of Machine Learning algorithms
machine-learning machine-learning-algorithms find-salgorithm candidate-elimination id3-algorithm random-forest linear-regression univariate-regressions multivariate-regression logistic-regression knn-algorithm weighted-knn svm-classifier multiclass-svm kernal-svm linear-svm navie-bayes-algorithm neural-networks
Language:Jupyter Notebook 11
kdyson / R_Scripts
Helper R scripts for multiple PERMANOVA tests, AICc script for PERMANOVA, etc.
r permanova multivariate-regression aic ecology indicator-species multipatt adonis chisquared chisquare-test chisquare
Language:R 9
yudai-il / Multivariate-Markov-Switching-Regressions
Multivariate Markov-Switching Models Regressions Framework
multivariate-regression markov-switching-model
Language:Jupyter Notebook 9
atdemarco / svrlsmgui
A graphical multivariate lesion-symptom mapping toolbox
lesion-symptom-mapping matlab-toolbox brain-imaging machine-learning multivariate-regression
Language:MATLAB 8
CropYield-prediction
arghac14 / CropYield-prediction
Predicting Crop Yield.
multivariate-regression crop-prediction
Language:Jupyter Notebook 7
OrestisMk / OrestisMk-Multivariate-forecast-with-VAR-SVR-RNN-LSTM
Forecasting exchange rates by using commodities prices
svr vector-autoregression rnn-lstm multivariate-regression multivariate-analysis multivariate-forecasting commodities exchange-rates
Language:Jupyter Notebook 7
SergioIommi / Quant-Trading-Dashboards
Equities Pair Trading/Statistical Arbitrage and Multi-Variable Index Regression
dash dashboard feature-selection kalman-filter linear-regression machine-learning mean-reversion mongodb multivariate-regression nosql pair-trading pymongo quant-trading quantitative-trading regression scikit-learn statistical-arbitrage systematic-trading xgboost yahoo-finance
Language:Jupyter Notebook 7
yashksaini-coder / Multivariate-Logistic-Regression---Telecom-Churn
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.
logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning
Language:Jupyter Notebook 7
agarwaltanmay / prediction
Predicting solar generation based on weather forecast - a project which was part of Machine Learning course at BITS Pilani
machinelearning prediction regression multivariate-regression principal-component-analysis principal-components-regression correlation
Language:MATLAB 6
Oprishri / Machine-Learning-Algorithms
To know internal working of machine learning algorithms, I have implemented types of regression through scratch.
simple-linear-regression multivariate-regression polynomial-regression ridge-regression lasso-regression elastic-net-regression logistic-regression knn-classification decision-tree
Language:Jupyter Notebook 6
mkln / meshgp
Bayesian spatial regression with Meshed Gaussian Process
spatiotemporal-data multivariate-regression bayesian gaussian-processes mcmc
Language:C++ 5
taro-masuda / multivariate_analysis_exercise
Answers of exercises on "Introduction to Multivariate Analysis; from Linear to Nonlinear" (Iwanami Shoten, 2010) by Sadanori Konishi.
multivariate-analysis multivariate-regression
Language:TeX 5
mkln / spamtree
Spatial Multivariate Trees for Big Data Bayesian Regression
spatial gaussian-processes multivariate-regression big-data directed-acyclic-graph
Language:C++ 4
Aariq / PCA-vs-PLS
Research compendium for "Using the right tool for the job: understanding the difference between unsupervised and supervised analyses of multivariate ecological data."
multivariate-analysis multivariate-statistics multivariate-regression multivariate-data partial-least-squares-regression plsr-model pls-da pca pca-analysis principal-component-analysis principal-components-regression
Language:R 3
AndreasScharnetzki / MachineLearningFundamentals
A notebook about commonly used machine learning algorithms.
linear-regression multivariate-regression logistic-regression classification value-prediction multi-class-classification sklearn matplotlib decision-tree-classifier hyperparameter-tuning svm-classifier k-fold-cross-validation gridsearchcv python supervised-learning unsupervised-learning machine-learning kmeans-clustering naive-bayes-classifier regularization
Language:Jupyter Notebook 3
friendly / VisMLM-course
Materials for my SCS Short course, Visualizing Linear Models: An R Bag of Tricks, Oct. 2021
multivariate-regression r regression-models visualization
Language:HTML 3
JuzerShakir / Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
linear-regression machine-learning algorithm univariate-regressions multivariate-regression hypothesis house-price-prediction linear-equations cost-function gradient-descent mean-square-error mse partial-derivative linear-algebra vector matrices feature-scaling mean-normalization bias-variance regularized-linear-regression
3
kaustubholpadkar / Predicting-House-Price-using-Multivariate-Linear-Regression
Predicting House Price from Size and Number of Bedrooms using Multivariate Linear Regression in Python from scratch
python multivariate-regression linear-regression machine-learning data-science gradient-descent stochastic-gradient-descent mini-batch-gradient-descent jupyter-notebook supervised-learning
Language:Jupyter Notebook 3
madvid / 42_ml_modules
[42 curriculum] One week to learn basics in Machine Learning! 🤖 (well, as one of the authors, It was just to get the XP because the pedago of 42Paris was too slow to give it to me). This project is a Machine Learning bootcamp created by 42 AI.
machine-learning machine-learning-algorithms logistic-regression regularization multivariate-regression
3
prathmachowksey / Multivariate-Polynomial-Regression
Multivariate Polynomial Regression using gradient descent with regularisation
regression gradient-descent python regularisation polynomial-regression multivariate-regression multivariate-polynomial-regression
Language:Python 3
ravising-h / Implementation-of-ML-Algo
Implementation of KNN, Multivariate Linear Regression
knn-classifier knn-algorithm numpy python implementation-of-algorithms multivariate-regression
Language:Jupyter Notebook 3
rtimbro185 / syr_mads_ist718_big_data_analytics
Syracuse University, Masters of Applied Data Science - IST 718 Big Data Analytics
python3 anaconda3 big-data exploratory-data-analysis multivariate-regression machine-learning spark tensorflow keras-neural-networks consumer-choice logistic-regression market-basket-analysis association-rules time-series-analysis time-series-forecasting ensemble-learning-model random-forest convolutional-neural-networks recurrent-neural-networks deep-learning
Language:Jupyter Notebook 3
Axik0 / OIL
Multivariate oil production time series analysis with XGBoost and neural networks
multivariate-analysis multivariate-regression multivariate-timeseries oil-and-gas oil-wells pytorch xgboost-regression
Language:Jupyter Notebook 2

multivariate-regression

chhayac / Machine-Learning-Notebooks

elcorto / pwtools

andreachello / Applied-Econometric-Time-Series

dependable-cps / adversarial-MTSR

OpenMendel / MendelIHT.jl

tstran155 / Optimization-of-building-energy-consumption

robinthibaut / skbel

abmantz / lrgs

JBris / multivariate_analysis_examples

tirthajyoti / GradDescent

mehdi149 / Learning-projects

bhattbhavesh91 / multivariate-adaptive-regression-splines-demo

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

RiteshPuvvada / Machine-Learning-Lab

kdyson / R_Scripts

yudai-il / Multivariate-Markov-Switching-Regressions

atdemarco / svrlsmgui

arghac14 / CropYield-prediction

OrestisMk / OrestisMk-Multivariate-forecast-with-VAR-SVR-RNN-LSTM

SergioIommi / Quant-Trading-Dashboards

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

agarwaltanmay / prediction

Oprishri / Machine-Learning-Algorithms

mkln / meshgp

taro-masuda / multivariate_analysis_exercise

mkln / spamtree

Aariq / PCA-vs-PLS

AndreasScharnetzki / MachineLearningFundamentals

friendly / VisMLM-course

JuzerShakir / Linear_Regression

kaustubholpadkar / Predicting-House-Price-using-Multivariate-Linear-Regression

madvid / 42_ml_modules

prathmachowksey / Multivariate-Polynomial-Regression

ravising-h / Implementation-of-ML-Algo

rtimbro185 / syr_mads_ist718_big_data_analytics

Axik0 / OIL