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GitHub topics: multilinear-regression

arnaldog12/Machine_Learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 23 days ago - Pushed at: almost 3 years ago - Stars: 221 - Forks: 62

chetan-pediredla/insurance-cost-prediction

This project demonstrates the effectiveness of machine learning models in predicting health insurance costs based on individual characteristics and relevant factors. The developed system provides accurate cost estimates, allowing individuals and insurance providers to make informed decisions regarding coverage and premium rates

Language: Jupyter Notebook - Size: 854 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

sergiocostaN26/regressions-lib

Linear regressions library written in Kotlin

Language: Kotlin - Size: 68.4 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Mathiris/Forecasting

this projet is a homemade projet to explore posibilities of machine learning for forcasting issues

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

nmcintyre5/supervisedLearningFinalProject

Supervised Learning project aimed at using various features to predict life expectancy.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Ahmad-Ali-Rafique/Linear-Regression-Modeling

In-depth exploration of linear regression models, including data cleaning, model building, and performance evaluation on various datasets.

Language: Jupyter Notebook - Size: 716 KB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

MissNeerajSharma/Linear-Regression-Multiple-Variables

Linear Regression Multiple Variables : Sample problem of predicting home price in monroe, new jersey

Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Rahman17309/ASSIGNMENT1

EXCELR ALL ASSIGNMENTS

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

SanyaGubrani/Advertising-Sales-Prediction

This project aims to predict sales based on advertising spending.

Language: Jupyter Notebook - Size: 133 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

amanraghuvanshi/BikeSharing---MLR

MultiLinear Model - US Bike Rental Company

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

omar7829/Machine-learning-regression-

ML Models trained using different classification and regression techniques.

Language: Jupyter Notebook - Size: 256 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

anujahlawat/startup-companies

practice 2.1 | multilinear regression | startup companies | profit prediction

Language: Jupyter Notebook - Size: 566 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

anujahlawat/automobile-company

practice 2.2 | multilinear regression | automobile company | price prediction

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

dixitamol/banking_CLV_CRM

Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer profitability is expected, along with a theoretical rational for these hypotheses and test the hypotheses. Multiple independent variables very tried to come up with some meaningful conclusions.

Size: 3.48 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 1

Xin-Bu/High_school_performance

Visualizes the data, builds a multi-linear regression model, applies a 10-fold cross-validation resampling method, and evaluates LM, SVM, and KNN model performance using R

Language: HTML - Size: 1.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

BalajiN743/Multi-Linear-Regression-examples

Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

HariKiran30/Walmart-Sales-Analysis-and-Prediction-in-R

Language: R - Size: 190 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ANDREWTOLUTAIWO/Machine-Learning-Model-Performance-Where-There-is-No-WDN

Modelling volume of water consumed by poor people with multilinear regression and multilayer perceptron

Language: Jupyter Notebook - Size: 24.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Karim-Ib/COVID-19-Analysis

Colaborate work with Bernhard Hofbauer for our final project in the course "statistische methoden der datenanalyse" in the WS2020

Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

rishuc07/marketing_analyst_MLR

marketing_analyst_MLR

Language: Jupyter Notebook - Size: 4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hmulagund/Assignment_05_Multi_Linear_Regression-1

Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kennethleungty/StatsAssume

Automating Assumption Checks for Regression Models (Work in Progress, Currently Paused)

Language: Python - Size: 19.9 MB - Last synced at: 16 days ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 0

rashmikhadse/Walmart-Store-Sales-Forecasting-using-Statistical-Models-in-R

To create a forecast model using R that accurately predicts sales and demand for Walmart, incorporating factors like economic conditions and the effects of promotional markdowns and holidays.

Size: 3.91 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

danielramirezjr1998/Data_Science_Projects

Each folder contains a project that utilizes several different computer science, financial, and statistical concepts to solve unique business problems.

Language: Jupyter Notebook - Size: 6.28 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

prashantpriya/Data-Science-Assignment

Here you can find All data Science assignments with solutions and data set

Language: Jupyter Notebook - Size: 41 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Coder-Chitta/Machine-Learning-Hands-On-Regression-

Regression

Language: Jupyter Notebook - Size: 157 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

kvathupo/kvathupo.github.io

Kalinda's personal website

Language: HTML - Size: 1.25 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

DrIanGregory/MachineLearning-MultiLinearRegressionWithGradientDescent

Demonstrating solving multilinear regression using gradient descent optimisation.

Language: Python - Size: 517 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

AbhiTyagi152/House-Pricing-Predictions-Using-Mulitple-Linear-Regression-and-k-NearestNeighbor-kNN-

The objective was to precisely determine the worth of real estate and identify the significant factors that directly impact property prices. To forecast housing prices, the research employed two models, namely, multiple linear regression and k-Nearest Neighbours (kNN).

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

VetlaPavanKalyan/Supervised-Learning

Language: Jupyter Notebook - Size: 140 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Gandhasiri-Rahul-Mohan/Multi-Linear-Regression-Q2-50_startups

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model.

Language: Python - Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

nishitpatel01/predicting-age-of-abalone-using-regression

Predicting the age of abalone using multiple regression in R

Size: 24.4 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 10

akamil92/Multiple-Linear-Regression-Clustering-Random-Forest-SimpleEDA

Data Science Project (Phyton)

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Gandhasiri-Rahul-Mohan/Multi-Linear-Regression-Q1-ToyotaCorolla

Consider only the below columns and prepare a prediction model for predicting Price.

Language: Python - Size: 50.8 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

kaneiscoding/DATA-603-Statistical-Modelling-with-Data

An introduction to the creation of complex statistical models, including exposure to multivariate model selection, prediction, the statistical design of experiments and analysis of data in R.

Size: 3.5 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

guilhermedom/pyspark-horsepower-multilinear-regression

PySpark for multiple linear regression on car horsepower using SMOTE for data augmentation.

Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Murillo/Machine-Learning

This is a project that contains several techniques of AI to data forecast.

Language: C# - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

tolee824/Smart_Pillow_Stress_Detection_Machine_Learning

Predict snoring rate using multilinear-regression and rescale stress levels from numerical to categorical using k-means clustering on dataset involving Smart Pillow that tracks sleeping habits.

Language: Jupyter Notebook - Size: 732 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Akash-Ubale/Complete-Machine-Learning

My Machine Learning Repository

Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

punithmadaiahkumar/Data-Science-Python

Data Science assignments

Language: Jupyter Notebook - Size: 7 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

benhachy/GeographicalOrigin

Building a linear model to predict the georpahical origin (latitude & latitude) of an individual.

Size: 791 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

benhachy/ProstateCancer

Building a linear model to predict the severity of the prostate cancer.

Size: 986 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

domegid/House-Price-Prediction

House Price Prediction on dataset from kaggle using various regression algorithms, and Solving Business Questions.

Language: R - Size: 3.33 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

WernerPret/MLG382_Project

IN PROGRESS: Project for MLG382, Team Members: Werner Pretorius, Zandrei Kleynhans, Lourens Geyser, De Wet Kirsten, Gideon Rossouw

Language: Jupyter Notebook - Size: 3.28 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

nishitpatel01/STAT-420-Homework

STAT-420 Methods of Applied Statistics - SUMMER 2017 - UIUC

Size: 3.15 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 6

LoneN3rd/Multilinear-Regression-Analysis

The purpose of this project is to predict the price of a house that a realtor can charge, or a customer can invest to buy a house by considering multiple input factors.

Language: Jupyter Notebook - Size: 584 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

KevinSequeira/Linear-Regression-from-Scratch

In this post, we develop a Multiple Linear Regression model in Python using the Gradient Descent Algorithm for estimating Model Coefficients to predict the prices of houses in the San Francisco Bay Area.

Language: Python - Size: 22.5 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

nachovazquez98/multiple-regression-with-continuous-variables

The dataset is property of Ares Materials Inc

Language: Jupyter Notebook - Size: 6.65 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

Manu-Gr/Multi-Linear-Regression---Assignment---Toyota-Dataset

Predict the Price of the Model based on Age , Km driven ,Horse Power, Doors, Miles Per Gallon

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Manu-Gr/Multi-Linear-Regression---Assignment---50-Startups

Multi Linear Regression - Assignment - 50 Startups

Language: Jupyter Notebook - Size: 360 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

Manu-Gr/Multi-Linear-Regression---Buisness-Case---Cars

Model the Miles Per Gallon (MPG) of the car based on other variables like Horse Power(HP), Speed(SP) , Volume(Vol), Weight(Wt)

Language: Jupyter Notebook - Size: 925 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

fauzancodes/multilinear-regression-calculator

Calculating multilinear regression using independent variables as many as you want, then plot the prediction result against actual result in python

Language: Python - Size: 9.77 KB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

smartinternz02/SI-GuidedProject-4865-1627386486

Co2 emission prediction

Language: Jupyter Notebook - Size: 3.25 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

desininja/understanding-the-viewers

This case study is for the analysis of viewers of a particular show, so that more viewers can be indulged in the show.

Language: Jupyter Notebook - Size: 226 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Ashot72/ml5-spfx-extension

ml5 (friendly machine learning for the web) SharePoint Framework (SPFx) extension

Language: TypeScript - Size: 3.56 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

priyaroy/machine_learning

Practice machine learning from Aurelien Geron's book

Language: Jupyter Notebook - Size: 122 MB - Last synced at: 4 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 1

Akashdesarda/Deciding-best-independant-variable-in-Multilinear-Regression

By using back propagation algorithm in Multilinear Regression

Language: Jupyter Notebook - Size: 841 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0

Related Keywords
multilinear-regression 57 linear-regression 21 machine-learning 18 python 15 data-science 10 logistic-regression 10 r 8 regression 8 machine-learning-algorithms 7 random-forest 6 polynomial-regression 6 statsmodels 4 statistics 4 eda 4 knn 4 regression-models 4 clustering 3 jupyter-notebook 3 ols-regression 3 principal-component-analysis 3 neural-network 3 hypothesis-testing 3 feature-selection 3 binary-classification 2 knn-classification 2 association-rules 2 exploratory-data-analysis 2 pca-analysis 2 predictive-modeling 2 simplelinearregression 2 supervised-learning 2 finance 2 modelbuilding 2 seaborn 2 prediction-model 2 svm 2 correlation-analysis 2 ml 2 python3 2 r-programming 2 multinomial-logistic-regression 2 numpy 2 pandas 2 naive-bayes 2 classification 2 regression-analysis 2 dataanalytics 2 decision-trees 2 regression-algorithms 2 model 2 gradient-descent 2 decision-tree-regression 2 text-mining 2 hierarchical-clustering 2 recommender-system 2 kmeans-clustering 2 correlation-matrix 1 svm-kernel 1 modeling 1 decision-tree 1 rmarkdown 1 forecasting 1 pca 1 text 1 fields 1 viewer-analysis 1 svm-classifier 1 data-augmentation 1 generalized-linear-model 1 evaluation 1 imblearn 1 dbscan 1 ordinary-least-squares 1 clustering-methods 1 pyspark 1 clustering-algorithm 1 k-means-clustering 1 perceptron 1 smote 1 multilayer-perceptron-network 1 csharp 1 data-forecast 1 classification-algorithm 1 deep-learning 1 ml5 1 sharepoint 1 sharepoint-online 1 sigmoid 1 softmax 1 spfx 1 spfx-extension 1 tensorflow 1 tensorflowjs 1 data-visualization 1 imputation 1 multiclass-classification 1 pipelines 1 regularization 1 scikit-learn 1 standardization 1