regression-models
There are 2685 repositories under regression-models topic.
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
IndrajeetPatil/ggstatsplot
Enhancing {ggplot2} plots with statistical analysis 📊📣
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
unslothai/hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
easystats/easystats
:milky_way: The R easystats-project
bambinos/bambi
BAyesian Model-Building Interface (Bambi) in Python.
ddsjoberg/gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
joanby/python-ml-course
Curso de Introducción a Machine Learning con Python
moderndive/ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
VivekPa/IntroNeuralNetworks
Introducing neural networks to predict stock prices
maykulkarni/Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
easystats/parameters
:bar_chart: Computation and processing of models' parameters
StatisticalRethinkingJulia/StatisticalRethinking.jl
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
NishkarshRaj/100DaysofMLCode
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
zavtech/morpheus-core
The foundational library of the Morpheus data science framework
Mandal-21/Flight-Price-Prediction
Now you can get Flight ticket fare with this wonderful end to end project.
strengejacke/sjstats
Effect size measures and significance tests
StatsReporting/stargazer
Python implementation of the R stargazer multiple regression model creation tool
Diyago/ML-DL-scripts
The repository provides usefull python scripts for ML and data analysis
mfarragher/appelpy
Applied Econometrics Library for Python
dominance-analysis/dominance-analysis
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
differential-machine-learning/notebooks
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
joanby/r-course
Una introduccion al analisis de datos con R y R Studio
gcarq/keras-timeseries-prediction
Time series prediction with Sequential Model and LSTM units
llhthinker/MachineLearningLab
Some experiments about Machine Learning
IQSS/Zelig
A statistical framework that serves as a common interface to a large range of models
robertvacareanu/llm4regression
Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
ROHANNAIK/Sales-Prediction
In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
QuentinAndre/pyprocessmacro
A Python library for moderation, mediation and conditional process analysis.
m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
JuliaAI/MLJLinearModels.jl
Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
kanchen-usc/QRC-Net
Implementation of Query-guided Regression Network with Context Policy for Phrase Grounding in Tensorflow
aml4td/website
Website sources for Applied Machine Learning for Tabular Data
hongooi73/glmnetUtils
Utilities for glmnet
brian-j-smith/MachineShop
MachineShop: R package of models and tools for machine learning
Ohjeah/sparsereg
a collection of modern sparse (regularized) linear regression algorithms.