Countries-GDP-predictionDeveloped a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.
Stars: ✭ 15 (-25%)
Mutual labels: regression, regression-models
regression-pythonIn this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
Stars: ✭ 15 (-25%)
Mutual labels: regression, regression-models
broomExtraHelpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
Stars: ✭ 45 (+125%)
Mutual labels: regression, regression-models
Sales-PredictionIn depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
Stars: ✭ 56 (+180%)
Mutual labels: regression-models
bbaiSet model hyperparameters using deterministic, exact algorithms.
Stars: ✭ 19 (-5%)
Mutual labels: regression-models
araAgile Regression Analyzer
Stars: ✭ 74 (+270%)
Mutual labels: regression
prediction-builderA library for machine learning that builds predictions using a linear regression.
Stars: ✭ 107 (+435%)
Mutual labels: regression
srqmAn introductory statistics course for social scientists, using Stata
Stars: ✭ 43 (+115%)
Mutual labels: regression-models
PRISMAn alternative to MCMC for rapid analysis of models
Stars: ✭ 40 (+100%)
Mutual labels: regression
smoothThe set of smoothing functions used for time series analysis and in forecasting.
Stars: ✭ 78 (+290%)
Mutual labels: regression
regressrA command line regression testing framework for testing HTTP services
Stars: ✭ 35 (+75%)
Mutual labels: regression
basis-expansionsBasis expansion transformers in sklearn style.
Stars: ✭ 74 (+270%)
Mutual labels: regression
EvoTrees.jlBoosted trees in Julia
Stars: ✭ 108 (+440%)
Mutual labels: regression
blorrTools for developing binary logistic regression models
Stars: ✭ 16 (-20%)
Mutual labels: regression
BetaML.jlBeta Machine Learning Toolkit
Stars: ✭ 64 (+220%)
Mutual labels: regression
SGppSG⁺⁺ – the numerical library for Sparse Grids in all their variants.
Stars: ✭ 59 (+195%)
Mutual labels: regression
Metida.jlJulia package for fitting mixed-effects models with flexible random/repeated covariance structure.
Stars: ✭ 19 (-5%)
Mutual labels: regression
PyTsetlinMachineCUDAMassively Parallel and Asynchronous Architecture for Logic-based AI
Stars: ✭ 37 (+85%)
Mutual labels: regression
needlestackMulti-sample somatic variant caller
Stars: ✭ 45 (+125%)
Mutual labels: regression
pyspark-ML-in-ColabPyspark in Google Colab: A simple machine learning (Linear Regression) model
Stars: ✭ 32 (+60%)
Mutual labels: regression-models