regression-models

There are 10 repositories under regression-models topic.

statsmodels / statsmodels
Statsmodels: statistical modeling and econometrics in Python
python statistics econometrics data-analysis generalized-linear-models timeseries-analysis regression-models count-model data-science forecasting hypothesis-testing prediction robust-estimation
Language:Python 11081
unslothai / hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
machine-learning python statistics scikit-learn statsmodels pytorch deep-learning data-science data-analysis regression-models econometrics tensor neural-network gpu research optimization
Language:Jupyter Notebook 2332
ggstatsplot
IndrajeetPatil / ggstatsplot
Enhancing {ggplot2} plots with statistical analysis 📊📣
ggplot-extension dataviz r statistical-analysis datascience bayes-factors regression-models effect-size non-parametric-statistics hypothesis-testing
Language:R 2142
orbit
uber / orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
arima bayesian bayesian-methods bayesian-statistics changepoint exponential-smoothing forecast forecasting machine-learning orbit probabilistic probabilistic-programming pyro pystan python pytorch regression regression-models stan time-series
Language:Python 2012
bambinos / bambi
BAyesian Model-Building Interface (Bambi) in Python.
bayesian-inference bayesian-statistics python regression-models statistical-analysis statistical-modeling
Language:Python 1212
gtsummary
ddsjoberg / gtsummary
Presentation-Ready Data Summary and Analytic Result Tables
easy-to-use gt html5 r r-package regression-models reproducibility reproducible-research rstats statistics summary-statistics summary-tables table1 tableone
Language:R 1151
easystats
easystats / easystats
:milky_way: The R easystats-project
easystats r rstats models statistics regression-models performance-metrics datascience dataanalytics hacktoberfest
Language:R 1144
joanby / python-ml-course
Curso de Introducción a Machine Learning con Python
python machine-learning data-science svm regression-models artificial-neural-networks
Language:Jupyter Notebook 810
ModernDive_book
moderndive / ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
bootstrap-method confidence-intervals data-science data-visualization data-wrangling dplyr ggplot2 hypothesis-testing infer moderndive permutation-test r regression regression-models rstats rstudio statistical-inference tidy tidyverse
Language:HTML 795
VivekPa / IntroNeuralNetworks
Introducing neural networks to predict stock prices
machine-learning neural-network lstm-neural-networks mlp-networks python stock-price-prediction quantitative-finance algorithmic-trading stock-prices data-science trading guide tutorial keras-tensorflow yahoo-finance prediction prediction-mod trading-strategies finance regression-models
Language:Python 766
maykulkarni / Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
machine-learning python python-machine-learning machine-learning-algorithms deep-learning deep-learning-tutorial neural-networks data-science-notebook data-processing regression-models classification-trees clustering-methods reinforcement-learning natural-language-processing dimensionality-reduction model-evaluation deep-learning-algorithms machine-learning-tutorials
Language:Jupyter Notebook 533
parameters
easystats / parameters
:bar_chart: Computation and processing of models' parameters
pvalues parameters beta ci confidence-intervals r easystats standardize pca fa bootstrap statistical-models regression-models feature-reduction standardized-estimates feature-extraction data-reduction robust-statistics hacktoberfest r-package
Language:R 478
StatisticalRethinkingJulia / StatisticalRethinking.jl
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
julia-package statistical-rethinking regression-models mcmc
Language:Julia 390
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:
100daysofcode 100daysofmlcode artificial-intelligence artificial-neural-networks big-data classification classification-algorithm deep-learning generative-ai hacktoberfest linear-algebra linear-regression llm machine-learning neural-networks polynomial-regression python regression regression-models scikitlearn-machine-learning
Language:Jupyter Notebook 338
Netanelshoshan / freqAI-LSTM
A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks
lstm-neural-networks regression-models
Language:Python 290
zavtech / morpheus-core
The foundational library of the Morpheus data science framework
datascience data-analysis data-analytics regression regression-models principal-component-analysis finance quantitative-finance dataframe dataframe-library statistics statistical-analysis
Language:Java 243
Mandal-21 / Flight-Price-Prediction
Now you can get Flight ticket fare with this wonderful end to end project.
regression-models random-forest python flask html5 css3 bootstrap4
Language:Jupyter Notebook 235
StatsReporting / stargazer
Python implementation of the R stargazer multiple regression model creation tool
stargazer latex python regression-models
Language:Jupyter Notebook 203
strengejacke / sjstats
Effect size measures and significance tests
statistical-measures regression-models mixed-models r effectsize significance-testing
Language:R 192
ML-DL-scripts
Diyago / ML-DL-scripts
The repository provides usefull python scripts for ML and data analysis
classification clustering deep-learning deployment kaggle machine-learning machine-learning-algorithms ml nlp python regression-models statistics text-analysis
Language:Jupyter Notebook 179
mfarragher / appelpy
Applied Econometrics Library for Python
econometrics regression regression-models economics modeling statistical-models statistics python3
Language:Python 177
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.
dominance-analysis relative-importance keydrivers shapley-value regression-models logistic-regression dominance predictor multiple-regression classification-model dominance-statistics feature-engineering feature-selection feature-importance predictor-importance r-square pseudo-r-square
Language:Python 165
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
large-language-models linear-regression llm llm-benchmarking llm-inference llms regression regression-models sklearn
Language:Python 155
aml4td / website
Website sources for Applied Machine Learning for Tabular Data
classification-models machine-learning predictive-modeling quarto quartopub regression-models statistical-learning
Language:TeX 152
joanby / r-course
Una introduccion al analisis de datos con R y R Studio
r rstudio rmarkdown data-science machine-learning regression-models clustering
Language:Java 150
notebooks
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.
aad automatic-differentiation backpropagation computational-finance deep-learning derivatives machine-learning notebooks pricing quantitative-finance regression-models risk-magazine risk-management tensorflow
Language:Jupyter Notebook 143
gcarq / keras-timeseries-prediction
Time series prediction with Sequential Model and LSTM units
regression-models keras prediction machine-learning lstm
Language:Python 118
llhthinker / MachineLearningLab
Some experiments about Machine Learning
machine-learning frequent-itemset-mining classification regression-models gradient-descent chinese-word-segmentation
Language:Python 114
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.
sales prediction prediction-algorithm forecasting machine-learning-algorithms regression-models prediction-model
Language:Jupyter Notebook 112
IQSS / Zelig
A statistical framework that serves as a common interface to a large range of models
statistics simulation visualization rstats regression-models regression-diagnostics
Language:R 111
sankeshyadav98 / Google-Advanced-Data-Analytics-Professional-Certificate
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.
data-analysis data-science data-visualization exploratory-data-analysis juypter-notebook kaggle machine-learning predictive-modeling python-programming regression-models statistical-analysis tableau
Language:Jupyter Notebook 101
QuentinAndre / pyprocessmacro
A Python library for moderation, mediation and conditional process analysis.
mediation-analysis statistics process plotting data-science data-analysis data-visualization regression-models
Language:Python 100
m-clark / bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
bayesian-inference bayesian-methods stan rstan r bayesian-statistics bayesian mcmc hamiltonian-monte-carlo gibbs posterior-probability prior likelihood metropolis-hastings posterior-predictive regression-models bayesian-analysis bayesian-data-analysis brms rstanarm
Language:Stan 86
Neurojedi / Machine-Learning-Zero2Hero
A series of notebooks that introduce Machine Learning concepts with hands-on practice and its mathematics in brief.
deep-learning jupyter-notebook machine-learning python numpy pandas data-visualization matplotlib seaborn opensource dimensionality-reduction dimensionality-reduction-algorithms nlp regression-models support-vector-machines
Language:Jupyter Notebook 86
EvanDietrich / Quant-Finance-Projects
Quantitative Finance & Statistics Projects. Topics including multiple linear regression, variance and instability estimates, display methodology.
linear-regression regression-analysis instability regression-models deviations variance market-analytics multiple-regression quant-finance
Language:Jupyter Notebook 84
pansism / downscale-satelliteLST
A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
earth-observation lst-downscaling machinelearning regression-models remote-sensing satellite-imagery surface-temperature thermal-remote-sensing thermal-sharpening
Language:Python 84

regression-models

statsmodels / statsmodels

unslothai / hyperlearn

IndrajeetPatil / ggstatsplot

uber / orbit

bambinos / bambi

ddsjoberg / gtsummary

easystats / easystats

joanby / python-ml-course

moderndive / ModernDive_book

VivekPa / IntroNeuralNetworks

maykulkarni / Machine-Learning-Notebooks

easystats / parameters

StatisticalRethinkingJulia / StatisticalRethinking.jl

NishkarshRaj / 100DaysofMLCode

Netanelshoshan / freqAI-LSTM

zavtech / morpheus-core

Mandal-21 / Flight-Price-Prediction

StatsReporting / stargazer

strengejacke / sjstats

Diyago / ML-DL-scripts

mfarragher / appelpy

dominance-analysis / dominance-analysis

robertvacareanu / llm4regression

aml4td / website

joanby / r-course

differential-machine-learning / notebooks

gcarq / keras-timeseries-prediction

llhthinker / MachineLearningLab

ROHANNAIK / Sales-Prediction

IQSS / Zelig

sankeshyadav98 / Google-Advanced-Data-Analytics-Professional-Certificate

QuentinAndre / pyprocessmacro

m-clark / bayesian-basics

Neurojedi / Machine-Learning-Zero2Hero

EvanDietrich / Quant-Finance-Projects

pansism / downscale-satelliteLST