r-squared

nikolas-virionis/linear-regression-model

An npm package to make it easier to deal with a handful of values, and try to model them in one of the most used mathematical models, with an R/Numpy-like accuracy algorithm

e-paj/Machine-Learning-Projects-in-Python

This repository contains all the Machine Learning projects I did using different Machine Learning methods. Python being the main software used.

hamza-mughees/Line-of-Best-Fit

This project calculates the equation of the line of best fit of a given correlation

caralifarrell/Beginner-Machine-Learning-in-Python-ChatGPT-Bonus-2023

An introduction into the world of machine learning with a comprehensive Udemy online course, designed for beginners, to learn Python programming fundamentals and gain valuable insights into the practical applications of machine learning.

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.

m-imani/Models-development

developing several models (Linear Regression, Multiple Linear Regression, and Polynomial Regression) that will predict the price of the car using the variables or features. Then evaluating these models (in-sample, and cross-validation) using R-squared and Mean-Squared-Error metrics to find out which model is a better fit for this dataset.

MahtabEK/Confidence-Intervals-The-Bootstrap

Exploring the confidence-Interval concept and bootstrapping.

rudycav/World-Happiness-Scores

Functional specification to calculate per country's happiness score

SAI-SRINIVASA-SUBRAMANYAM/machine_practices_problems

smriti2311/RegModel_Analytica

Complete mathematical and statistical analysis of linear regression model

stdlib-js/stats-incr-mpcorr2

Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.

stdlib-js/stats-incr-pcorr2

Compute a squared sample Pearson product-moment correlation coefficient.

devosmitachatterjee2018/Linear_Statistical_Models

The project involves the multivariate regression analysis of a dataset.

EmmaSui/Business-Analytics-Predicting-Catalog-Demand

Using multiple linear regression model to predict customer demand in order to make business decision

jilek/MechaCar_Statistical_Analysis

Statistical analysis to predict the importance of various manufacturing parameters on fuel economy of a prototype car.

lakshaykakkarr/bikes-sales

Business Goal: To model the demand for shared bikes with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations.

NavindaFernando/Heart-Risk-Prediction-Model

Heart Risk Level Predicting Regression Model :broken_heart:

NgeNXQ/StockX-Deadstock-Price-Predicting

Predicting annual highest of sneakers on StockX

saboye/predicting-sales-performance

project to predict smartphone sales based on the marketing budget spent on advertising using three platforms involves collecting data on marketing spending and smartphone sales, and using statistical and machine learning techniques to build a model that can predict future smartphone sales based on changes in marketing budget.

Saxsori/ft_linear_regression

An introduction to machine learning

aleniart/multiple_linear_regression_customers

Multiple linear regression model based on eCommerce customers data in Python language.

anilesh-prajapati/Probability-and-Statistics-for-Machine-Learning

Probability and Statistics for Machine Learning

ashishyadav24092000/Multiple-Linear-Regression

Performing multiple linear regression on a simple dataset.

DougUOT/MechaCar_Statistical_Analysis

Learn how to use R and statistics in order to analyze vehicle data

EmamulHossen/Feature-Transformation-Assignment-6.3-

Feature transformation is a technique in machine learning that is used to modify the original features of a dataset in order to improve the performance of machine learning algorithms.

Kovenda/A-B-Testing-a-Cotton-Mill

To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)

Sanchariii/GoldOracle

Gold Price Prediction

TheDataByte/LinearRegression_Python

Hosts Python content associated with Linear Regression series on YouTube

TheDataByte/LinearRegression_R

Hosts R content associated with Linear Regression series on YouTube