GitHub topics: multivariate-regression

Repositories

LatiefDataVisionary/multivariate-analysis-college-task

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Wb-az/MLib-PySpark-SoundLevel-Prediction

Creates a ML Pipeline leveraging PySpark SQL and PySpark MLib to predict sound level

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yoshiya-usui/TRACMT

Robust transfer function analysis code for magnetotellurics

Language: C++ - Size: 209 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 7 - Forks: 0

chhayac/Machine-Learning-Notebooks

15+ Machine/Deep Learning Projects in Ipython Notebooks

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 130 - Forks: 103

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.

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 27 - Forks: 6

octoflar/amber

Multivariate Bernstein polynomials

Language: Fortran - Size: 1.79 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

bhattbhavesh91/multivariate-adaptive-regression-splines-demo

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

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 13 - Forks: 8

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.

Language: Jupyter Notebook - Size: 3.76 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 19 - Forks: 1

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.

Language: Python - Size: 21.9 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 66 - Forks: 15

OpenMendel/MendelIHT.jl

Iterative hard thresholding for l0 penalized regression

Language: Julia - Size: 119 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 4

RiteshPuvvada/Machine-Learning-Lab

A cluster of Machine Learning algorithms

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mohamedasad10/LinearRegression

Showcasing the work done for the CSC312 Machine Learning assignment, where linear regression📈is implemented from scratch and compared with sklearn's library. The project highlights the importance of feature scaling and demonstrates how to optimize models for accurate predictions.

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mertokcu/Linear-Prediction-Quality-Analysis-and-T-Test-on-California-Housing-Prices-Data-Set

Linear Prediction, Quality Analysis, Multivariate Regression and implementation of T-Test on "California Housing Prices" Data Set provided by Kaggle

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lucasangio01/vienna-airbnb

University group project: multivariate analysis of the Airbnbs in Vienna, Austria

Language: R - Size: 16 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

taro-masuda/multivariate_analysis_exercise

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

Language: TeX - Size: 4.9 MB - Last synced at: 8 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 0

keanteng/flood_risk_model_2

🌍Flood risk modelling with logistic regression (multivariate)

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abmantz/lrgs

Code to perform multivariate linear regression using Gibbs sampling

Language: Jupyter Notebook - Size: 499 KB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 20 - Forks: 4

robinthibaut/skbel

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

Language: Python - Size: 118 MB - Last synced at: about 17 hours ago - Pushed at: 11 months ago - Stars: 24 - Forks: 5

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.

Language: Python - Size: 40 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 18 - Forks: 3

tirthajyoti/GradDescent

MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

Language: Matlab - Size: 149 KB - Last synced at: about 1 month ago - Pushed at: almost 8 years ago - Stars: 17 - Forks: 10

xgagandeep/Machine-Learning-Algorithms-without-using-ML-libraries.

This repository contains various links for repo for implementations of machine learning algorithms from scratch using Python

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clorischen-mz/Public-Health-Infrastructure

Built 20 multivariable logistic regression models to analyze the relationships between variables of local public health infrastructure and best practices

Language: R - Size: 1.56 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Jybbs/Derailleur

A run-through of various data science techniques to analyze and visualize bike sharing trends, using the UCI Bike Sharing Dataset.

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dandycheng/ml-simple-multivariate-regression

A simple multivariate regression practice.

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aarryasutar/Linear_Multivariate_Regression_on_Football_Statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

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TristanThorn/ml-from-scratch

Code snippets for a crash course in ml & biomed eng.

Language: Python - Size: 18.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

samiemirza/weather-prediction

This project utilizes univariate and multivariate linear regression, to predict the temperature the next day, analyzing the provided dataset. The file contains a line by line walkthrough of the code, with an explanation of each step, along with ample visual and verbal analysis.

Language: Jupyter Notebook - Size: 924 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

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

Forecasting exchange rates by using commodities prices

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AlJonny/WorkSamples_DataScience

Machine Learning topics and code examples from coursework

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yeachan153/Linear-Regression-Class

Creating a new linear regression class.

Language: TeX - Size: 706 KB - Last synced at: 12 months ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

juan-gamero-salinas/semioutdoor-spaces-singapore-supplementary-materials

The following data is Supplementary Material of the manuscript: "Porosity, openness, and exposure: Identification of underlying factors associated with semi-outdoor spaces’ microclimate performance and clustering in tropical high-density Singapore".

Language: R - Size: 1.8 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

AndreasScharnetzki/MachineLearningFundamentals

A notebook about commonly used machine learning algorithms.

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Seghelicious/Vayner-Box

This repository the files and datasets for the Vayner Box project.

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Ninad077/Machine_Learning-Gradient_descent_with_Multivariate_Linear_Regression

Content: Multivariate regression, Feature scaling, Polynomial regression, gradient descent, regression using sklearn

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NucciTheBoss/mtsr-datasets

Multivariate Time Series Regression data sets formatted to be trained on and manipulated by the jespipe application.

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davidrsch/LSTM_RE

App to carry out simple experiments of the use of LSTM networks in time series forecasting. It allows users to solves univariate and multivariate regression problems by testing different set of features, and comparing the effectiveness of the obtained results.

Language: R - Size: 7.53 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1

mehrotrasan16/PerformanceFlow.js

PerfFlow.js is a javascript package that allows flexible and expressive runtime speculation designed to make your data query-heavy applications more interactive! a continuation of the BD_GIS_Leaflet_Page_UI design project

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axelnine/Intelligent-Electricity-Consumption---Internet-of-Things-Project

This project utilizes data on current weather forecast and energy consumption within a particular area to predict when to turn your thermostat and other devices on/off. Along with the Raspberry Pi it uses a temperature sensor as a peripheral.

Language: Python - Size: 1.53 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

manisha-nair28/Real-Estate-Price-Predictor

A multi-variate linear regression model that predicts real estate prices.

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AliKhajegiliM/ML-Regression

Linear regression model using gradient descent from scracth.

Language: Python - Size: 25.4 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

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."

Language: R - Size: 310 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

pavanreddy2307/Regression_models

Explore various regression models including univariate and multivariate linear regression, along with regularization techniques such as Ridge Regression and Lasso Regression. This repository contains Jupyter Notebook files (.ipynb) demonstrating the implementation and usage of different regression models. Additionally, datasets used for training an

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kdyson/R_Scripts

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

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KatrojuSaiChaitanya/Regression_Analysis

Deriving a relationship between Schooling and life expectancy

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AshwilNambiar/Datascience

Datascience hands on code

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AsmaaEssamSultan/Optimization-Techniques-from-scratch

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apoorvadudani/Forecasting-House-Prices-using-Multivariate-Causal-Regression

I use Microsoft Excel to forecast house prices for Damian Realty, identify factors affecting house prices using causal analysis, and provide inferences for realty stakeholders

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nhsengland/GPPS-online-services

Partial codebase for project characterising groups of NHS GP online service users based on 2021 GP Patient Survey.

Language: R - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

syedfaiqueali/Data-Science-And-Machine-Learning-Bootcamp

Exploring Data Science and Machine Learning using Python.

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dependable-cps/adversarial-MTSR

Language: Python - Size: 23 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 16

rtimbro185/syr_mads_scm651_business_analytics

Syracuse University, Masters of Applied Data Science -SCM 651 Business Analytics

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rtimbro185/syr_mads_ist718_big_data_analytics

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

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JuzerShakir/Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm

Size: 296 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

unnatibshah/LASSO-and-Boosting-for-Regression

LASSO and Boosting for Regression on Communities and Crime data

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SergioIommi/Quant-Trading-Dashboards

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

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goessl/multipoly

A multivariate polynomial module.

Language: Python - Size: 9.77 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Folasade-Ojo/Expenses-prediction

An analysis done to determine the effect of some categorical variables on expenses.

Language: R - Size: 23.4 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

AbeRajeev/NN_pattern_recognition

Image Recognition and Multi-class classification using Multi-variate regression and Neural Networks

Language: Matlab - Size: 45.9 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 0 - Forks: 0

atdemarco/svrlsmgui

A graphical multivariate lesion-symptom mapping toolbox

Language: MATLAB - Size: 37.1 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 3

north0n-FI/Multivariate-Regression---King-County-House-Prices

Supervised Machine Learning Using Regression Analysis

Language: Jupyter Notebook - Size: 126 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

prathmachowksey/Multivariate-Linear-Regression

Language: Python - Size: 7.66 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

prathmachowksey/Multivariate-Polynomial-Regression

Multivariate Polynomial Regression using gradient descent with regularisation

Language: Python - Size: 236 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

LabCognition/SamplePredictor

Example using the multivariate data analysis (MVA) prediction API

Language: C# - Size: 812 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

Axik0/OIL

Multivariate oil production time series analysis with XGBoost and neural networks

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pranshu1921/Reducing-Traffic-Mortality-USA

Reducing Traffic Mortality rates in USA

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boycakra/Nba_Prediction

Predicting the results of NBA basketball games is important for both fans and team management staff. This study aims to predict NBA basketball game outcomes using a multivariate quadratic polynomial method and compare it with standard linear regression

Language: Jupyter Notebook - Size: 3.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

XnhuUcas/MSF

Multivariate Sparse Fusion

Language: MATLAB - Size: 49.8 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

mjkim1001/AS21

Applied Statistics I, 2021, UNC at Chapel Hill-linear regression

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faezeamin/ML-Linear-Regression

Linear Regression algorithm for two- and multi-dimensional feature space

Language: MATLAB - Size: 4.88 KB - Last synced at: almost 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

angelpatriciads/positivity-rate-multivariate-regression

In 2022, the COVID-19 pandemic has started to subside. Many people carry out normal activities, as if this virus was gone. However, people's activities and mobility, especially in the Indonesian region, still depend on the number of COVID-19 considering that there are still policies that must be obeyed to prevent an increase in the virus.

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mkln/spamtree

Spatial Multivariate Trees for Big Data Bayesian Regression

Language: C++ - Size: 572 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

mkln/meshgp

Bayesian spatial regression with Meshed Gaussian Process

Language: C++ - Size: 195 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

kenanEkici/E2E-ML-Project

A repository for my basic end-to-end Machine Learning project.

Language: Jupyter Notebook - Size: 797 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

hifahreza/IMDB-Prediction

Midterm group project for a machine learning course. The goal is to predict films' IMBD score using multivariate regression.

Language: Jupyter Notebook - Size: 4.33 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

tash-g/WAAL-personality

Repository for wind-personality manuscript

Language: R - Size: 39.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

connoraking/Spotify-YouTube-Multiavariate-Analysis

R-based project that utilizes multivariate analysis of Spotify Metrics; specifically multiple multivariate regression and MANOVA.

Size: 8.94 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Nazafa26/Investigate_Data

This demonstrates some of the the Machine Learning Techniques

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friendly/VisMLM-course

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

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riccmon/Machine-Learning

Lab sessions of the Machine Learning course of the Artificial Intelligence Master's degree at UniBo

Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

VishalAnandV/Multivariate_Regression_Analysis

Multiplevariate Linear Regression, Gradient Descent with Python

Language: Jupyter Notebook - Size: 563 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

andreachello/Applied-Econometric-Time-Series

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

Language: Jupyter Notebook - Size: 3.6 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 5

lordtt13/Advanced-NLP

Recurrent Neural Networks and their fun little usage

Language: Python - Size: 128 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

ewald-florian/Machine-Learning-From-Scratch

Implementing ML algorithms from scratch using only numpy is a great way to understand the functionality under the hood.

Language: Jupyter Notebook - Size: 235 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

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.

Language: R - Size: 13 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 7

ldtcooper/ussr-obesity-corruption

Code for my working paper with Charles M. Becker, PhD of Duke University

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cremerf/NBAProjectII

Making estimations about NBA data using Sci-kit Learn. Feature engineering and preprocessing. Univariate, multivariate and logistic regression.

Language: Jupyter Notebook - Size: 761 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

gkontogiannhs/Multivariate-Time-Series-Forecasting-LSTM-Regressor

Language: Jupyter Notebook - Size: 8.61 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

DarkDk123/House-valuation-model

A Challenge Project in a Boot-Camp to create a ML Model to predict the prices of houses in Boston Massachusetts from multiple parameters Using Multivariable Regression.

Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

hardikasnani/diamond-price-and-carat-prediction

I leveraged an algorithmic approach to predict the price and carat of the diamond using Machine Learning. Various regression models have been trained and their performance has been evaluated using the R Squared Score followed by tuning of the hyperparameters of top models. I have also carried out a trade-off based on the R Squared Score and the Run-Time to take a situational decision to select the best model.

Language: Jupyter Notebook - Size: 694 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 2