multivariate-regression

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.

andreachello/Applied-Econometric-Time-Series

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

dependable-cps/adversarial-MTSR

OpenMendel/MendelIHT.jl

Iterative hard thresholding for l0 penalized regression

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.

robinthibaut/skbel

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

abmantz/lrgs

Code to perform multivariate linear regression using Gibbs sampling

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.

tirthajyoti/GradDescent

MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

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.

bhattbhavesh91/multivariate-adaptive-regression-splines-demo

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

mehdi149/Learning-projects

python implementation of process mining and machine learning algorithm

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.

RiteshPuvvada/Machine-Learning-Lab

A cluster of Machine Learning algorithms

kdyson/R_Scripts

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

SergioIommi/Quant-Trading-Dashboards

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

yudai-il/Multivariate-Markov-Switching-Regressions

Multivariate Markov-Switching Models Regressions Framework

atdemarco/svrlsmgui

A graphical multivariate lesion-symptom mapping toolbox

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

Forecasting exchange rates by using commodities prices

arghac14/CropYield-prediction

Predicting Crop Yield.

Oprishri/Machine-Learning-Algorithms

To know internal working of machine learning algorithms, I have implemented types of regression through scratch.

agarwaltanmay/prediction

Predicting solar generation based on weather forecast - a project which was part of Machine Learning course at BITS Pilani

yoshiya-usui/TRACMT

Robust transfer function analysis code for magnetotellurics

mkln/meshgp

Bayesian spatial regression with Meshed Gaussian Process

taro-masuda/multivariate_analysis_exercise

Answers of exercises on "Introduction to Multivariate Analysis; from Linear to Nonlinear" (Iwanami Shoten, 2010) by Sadanori Konishi.

mkln/spamtree

Spatial Multivariate Trees for Big Data Bayesian Regression

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."

AndreasScharnetzki/MachineLearningFundamentals

A notebook about commonly used machine learning algorithms.

friendly/VisMLM-course

Materials for my SCS Short course, Visualizing Linear Models: An R Bag of Tricks, Oct. 2021

JuzerShakir/Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm

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.

octoflar/amber

Multivariate Bernstein polynomials

prathmachowksey/Multivariate-Polynomial-Regression

Multivariate Polynomial Regression using gradient descent with regularisation

ravising-h/Implementation-of-ML-Algo

Implementation of KNN, Multivariate Linear Regression

rtimbro185/syr_mads_ist718_big_data_analytics

Syracuse University, Masters of Applied Data Science - IST 718 Big Data Analytics