adjusted-r-squared

There are 0 repository under adjusted-r-squared topic.

stefmolin / ml-utils
Machine learning utility functions and classes.
roc-curve roc-auc pr-curve precision-recall precision-recall-curve pca scree-plot elbow-method elbow-plot adjusted-r-squared pipeline machine-learning confusion-matrix residuals
Language:Python 12
kaur-anupreet / boston-housing-price-prediction
Predicted house prices using multiple linear regression. Used back elimination to further improve the model and select features based on p-value and adjusted R squared value.
python multiple-linear-regression back-elimination p-value adjusted-r-squared
Language:Jupyter Notebook 3
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
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
anthonyli01 / Regression-Model-for-Car-Prices
University Project: using linear regression models to predict secondary market car prices based on a series of features. We will apply variable selection techniques and optimisation in attempt to build the best predictive model.
adjusted-r-squared akaike-information-criterion bayesian-information-criterion machine-learning optimisation regression-models regularization
0
devosmitachatterjee2018 / Linear_Statistical_Models
The project involves the multivariate regression analysis of a dataset.
simple-linear-regression multivariate-regression underlying-assumptions bias-variance least-squares outlier-detection categorical-covariates t-test adjusted-r-squared r-squared confidence-intervals prediction-intervals multicollinearity akaike-information-criterion partial-f-test model-selection cross-validation
Language:R 0
Hermann-web / some-common-statistical-methods
python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites
confidence-interval hypothesis-testing python statistical-analysis statistical-models statistics beginner-project linear-regression logistic-regression fisher-test adjusted-r-squared kurtosis log-likelihood normality-test p-value student-test log-loss-score-metric metrics-evaluation
Language:Python 0
PBPatil / Regression-Projects
Regression is one of the foundational techniques in Machine Learning. Being one of the most well-understood algorithms, beginners always struggle to understand some fundamental terminology related to regression. In this series of projects, I will try to give you basic ideas of underlying concepts with the help of practical examples. If you are starting your career or want to brush up on your knowledge of regression, this repo is made up for you. These projects begins by introducing some simple real-life examples for regression. From a brief introduction to most of the concepts used in regression to hands-on experience, these projects will give you enough understanding to apply those in real-world problems. With the help of the background developed, you will code your regression model in python.
adjusted-r-squared liner-regestion rsquared simplelinearregression data-science machine-learning python
Language:Jupyter Notebook
vikhyatnegi / Linear-Regression-
This assignment is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes.
adjusted-r-squared linear-models linear-regression python r2-score train train-test-split vif visualization
Language:Jupyter Notebook

adjusted-r-squared

stefmolin / ml-utils

kaur-anupreet / boston-housing-price-prediction

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

SAI-SRINIVASA-SUBRAMANYAM / machine_practices_problems

anthonyli01 / Regression-Model-for-Car-Prices

devosmitachatterjee2018 / Linear_Statistical_Models

Hermann-web / some-common-statistical-methods

PBPatil / Regression-Projects

vikhyatnegi / Linear-Regression-