r-squared

There are 0 repository under r-squared topic.

LastAncientOne / GDP_Project
GDP Forcasting
excel gdp forecast forecasting data-analysis data-visualization statistics hypothesis-testing r-squared p-value
4
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
linear-regression dataset insight linear linear-models regression correlation pearson-correlation r-squared coefficient-of-determination
Language:JavaScript 3
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.
python clustering-algorithm k-means-clustering linear-regression machine-learning r-squared svm-model kaggle-dataset accuracy-score standardization visualization classification deep-learning numpy pandas cosine-similarity train-test-using-sklearn decision-tree-classifier feature-selection webscraping
Language:Jupyter Notebook 2
hamza-mughees / Line-of-Best-Fit
This project calculates the equation of the line of best fit of a given correlation
machine-learning linear-regression line-of-best-fit python numpy r-squared
Language:Python 2
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.
linear-regression multiple-linear-regression ordinary-least-squares r-squared accuracy-ratio adjusted-r-squared classification clustering confusion-matrix data-science feature-scaling k-means-clustering logistic-regression machine-learning maximum-likelihood python
Language:Jupyter Notebook 1
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.
cross-validation-grid-search hyperparamter-tuning machine-learning multivariate-regression r-squared random-forest-regression run-time trade-off lasso-regression ridge-regression diamonds-dataset diamonds-price-prediction diamonds-carat-prediction
Language:Jupyter Notebook 1
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.
cross-validation linear-regression multiple-linear-regression polynomial-regression r-squared
Language:Jupyter Notebook 1
MahtabEK / Confidence-Intervals-The-Bootstrap
Exploring the confidence-Interval concept and bootstrapping.
confidence-intervals bootstrap estimation r-squared hockey-data
Language:Jupyter Notebook 1
rudycav / World-Happiness-Scores
Functional specification to calculate per country's happiness score
happiness-score correlation-matrix descriptive-statistics f-statistics r-squared regression-analysis
Language:R 1
SAI-SRINIVASA-SUBRAMANYAM / machine_practices_problems
adjusted-r-squared cost-function ineuron ineuron-ai linear-regression loss-function multivariate-analysis r-squared subramanyam
Language:Jupyter Notebook 1
smriti2311 / RegModel_Analytica
Complete mathematical and statistical analysis of linear regression model
linear-regression hypothesis-testing anova-test r-squared confidence-intervals prediction-intervals
Language:Jupyter Notebook 1
stdlib-js / stats-incr-mpcorr2
Compute a moving squared sample Pearson product-moment correlation coefficient incrementally.
nodejs javascript stdlib node node-js statistics stats mathematics math covariance sample-covariance variance unbiased var correlation corr pcorr pearson product-moment r-squared
Language:JavaScript 1
stdlib-js / stats-incr-pcorr2
Compute a squared sample Pearson product-moment correlation coefficient.
nodejs javascript stdlib node node-js statistics stats mathematics math covariance sample-covariance variance unbiased var correlation corr pearson product-moment r-squared r2
Language:JavaScript 1
devosmitachatterjee2018 / Linear_Statistical_Models
The project involves the multivariate regression analysis of a dataset.
adjusted-r-squared akaike-information-criterion bias-variance categorical-covariates confidence-intervals cross-validation least-squares model-selection multicollinearity multivariate-regression outlier-detection partial-f-test prediction-intervals r-squared simple-linear-regression t-test underlying-assumptions
Language:R 0
EmmaSui / Business-Analytics-Predicting-Catalog-Demand
Using multiple linear regression model to predict customer demand in order to make business decision
python matplotlib numpy sklearn pandas seaborn business-analytics multiple-linear-regression r-squared statsmodels crisp-dm
Language:Jupyter Notebook 0
jilek / MechaCar_Statistical_Analysis
Statistical analysis to predict the importance of various manufacturing parameters on fuel economy of a prototype car.
dplyr linear-regression matplotlib p-value r r-squared regression rstudio statistics t-test tidyverse variance
Language:HTML 0
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.
linear-regression r-squared multiple-linear-regression dummy-variables recursive-feature-elimination
Language:Jupyter Notebook 0
NavindaFernando / Heart-Risk-Prediction-Model
Heart Risk Level Predicting Regression Model :broken_heart:
joblib linear-regression machine-learning pandas r-squared regression-models scikit-learn supervised
Language:Jupyter Notebook 0
NgeNXQ / StockX-Deadstock-Price-Predicting
Predicting annual highest of sneakers on StockX
python stockx brands data data-science data-visualization gradient-boosting-regressor lasso-regression-model linear-regression-models python3 r-squared random-forest-regressor sklearn sneakers
Language:Jupyter Notebook 0
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.
linear-regression python r-square r-squared f-statistics p-values
Language:Jupyter Notebook 0
aleniart / multiple_linear_regression_customers
Multiple linear regression model based on eCommerce customers data in Python language.
data-analysis data-modeling data-science jupyter-notebook model-fitting model-validation python r-squared regression-analysis statistical-analysis
Language:Jupyter Notebook
anilesh-prajapati / Probability-and-Statistics-for-Machine-Learning
Probability and Statistics for Machine Learning
box-and-whisker-plot covariance-and-correlation cross-entropy gaussian mean-median-and-mode ordinary-least-squares p-values r-squared standard-deviation standard-error uniform variables variance z-scores
Language:Jupyter Notebook
ashishyadav24092000 / Multiple-Linear-Regression
Performing multiple linear regression on a simple dataset.
multiple-linear-regression performance-metrics r-squared
Language:Jupyter Notebook
DougUOT / MechaCar_Statistical_Analysis
Learn how to use R and statistics in order to analyze vehicle data
r statistics data-analysis linear-regression t-test r-studio p-value r-squared lm
Language:R
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.
data-preprocessing linear-regression missing-values mse pandas pandas-dataframe r-squared train-test-split visualization z-score
Language:Jupyter Notebook
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)
a-b-testing anova-analysis anova-test dplyr emmeans experimental-data-analysis experimental-design ggplot ggplot2 interaction-effects multifractal-analysis r-squared residuals scale-location-plot data-science mathematical-modelling probability statistics
Language:R
Sanchariii / GoldOracle
Gold Price Prediction
gold r-squared randomforestregressor
Language:Jupyter Notebook
TheDataByte / LinearRegression_Python
Hosts Python content associated with Linear Regression series on YouTube
data-science linear-regression python r-squared statistics youtube
Language:Jupyter Notebook
TheDataByte / LinearRegression_R
Hosts R content associated with Linear Regression series on YouTube
data-science linear-regression r-programming r-squared statistics youtube
Language:R

r-squared

LastAncientOne / GDP_Project

nikolas-virionis / linear-regression-model

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

hamza-mughees / Line-of-Best-Fit

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

hardikasnani / diamond-price-and-carat-prediction

m-imani / Models-development

MahtabEK / Confidence-Intervals-The-Bootstrap

rudycav / World-Happiness-Scores

SAI-SRINIVASA-SUBRAMANYAM / machine_practices_problems

smriti2311 / RegModel_Analytica

stdlib-js / stats-incr-mpcorr2

stdlib-js / stats-incr-pcorr2

devosmitachatterjee2018 / Linear_Statistical_Models

EmmaSui / Business-Analytics-Predicting-Catalog-Demand

jilek / MechaCar_Statistical_Analysis

lakshaykakkarr / bikes-sales

NavindaFernando / Heart-Risk-Prediction-Model

NgeNXQ / StockX-Deadstock-Price-Predicting

saboye / predicting-sales-performance

aleniart / multiple_linear_regression_customers

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

ashishyadav24092000 / Multiple-Linear-Regression

DougUOT / MechaCar_Statistical_Analysis

EmamulHossen / Feature-Transformation-Assignment-6.3-

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

Sanchariii / GoldOracle

TheDataByte / LinearRegression_Python

TheDataByte / LinearRegression_R