Topic: "multiple-linear-regression-model"
Avinash793/regression-analysis-examples
Detailed implementation of various regression analysis models and concepts on real dataset.
Language: Jupyter Notebook - Size: 3.55 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
qtle3/multiple-linear-regression
A Python implementation of multiple linear regression to predict the profit of startups based on their spending in R&D, Administration, Marketing, and the state they operate in.
Language: Python - Size: 11.7 KB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
AvinashDarekar/Advance-Project--3-4---Prediction-with-Multiple-linear-Regression
Prediction-with-Multiple-linear-Regression
Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Prometheussx/Multiply-Linear-Regression
A Python code for data analysis and salary predictions using a multiple linear regression model. The code calculates the intercept and coefficients of the model and makes predictions on sample data.
Language: Python - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
ccrodriguez27/Population-Growth-Prediction-using-Multiple-Linear-Regression
https://ccrodriguez27.github.io/Population-Growth-Prediction-using-Multiple-Linear-Regression/
Language: HTML - Size: 2.24 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
ntdoris/home-price-prediction Fork of learn-co-curriculum/dsc-phase-2-project-v2-3
Modeling King County Home Prices via Multiple Linear Regression
Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
AnveshaM/MachineLearning_models_using_Matlab
Stepwise Multiple Linear Regression (With Interactions) and Random Forest Regression on predicting the Productivity of the Garment Factory Workers
Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 2
rhnfzl/optimize-targeted-ads
Improve targeted advertising of a popular streaming service in exploring new approaches using Neural Network
Language: R - Size: 823 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
acc25uom/climate_change_study
Software to calculate the direct and indirect effects of climate change on health and economy by using a multiple linear model and for a South Asia country case study
Language: R - Size: 7.33 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Hadley-Dixon/DiabetesRegression
A MLR algorithm that analyzes diabetes data in African Americans to find factors predicting diagnosis
Language: HTML - Size: 3.36 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
shreyansh-2003/MLR-Gradient-Descent-For-Model-Explainability
This repository contains a comprehensive implementation of gradient descent for linear regression, including visualizations and comparisons with ordinary least squares (OLS) regression. It also includes an additional implementation for multiple linear regression using gradient descent.
Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
SantiagoMorenoV/50-Startups-Multiple-Reg
This project estimates a multiple linear regression of 50 startups and how their expenses on R & D, administration, marketing, and location can be significant or not to their profits.
Language: Jupyter Notebook - Size: 798 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
rrailton/us-wildfires-and-drought
Exploratory Data Analysis of US Wildfires and Drought with R using Linear Regression
Language: RMarkdown - Size: 26.4 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
Divya171997/Life_Expectancy-Modelling_Experimental_Data
Investigate the response variable (dependent variable) life expectancy in the year 2016 and use other indicators (predictor variables) of the dataset to develop a linear model which explains the life expectancies 2016.
Size: 622 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
