Topic: regression-models Goto Github
Some thing interesting about regression-models
Some thing interesting about regression-models
regression-models,Website sources for Applied Machine Learning for Tabular Data
Organization: aml4td
Home Page: https://aml4td.org/
regression-models,BAyesian Model-Building Interface (Bambi) in Python.
Organization: bambinos
Home Page: https://bambinos.github.io/bambi/
regression-models,MachineShop: R package of models and tools for machine learning
User: brian-j-smith
Home Page: https://brian-j-smith.github.io/MachineShop/
regression-models,An introductory statistics course for social scientists, using Stata
User: briatte
Home Page: https://f.briatte.org/teaching/quanti/
regression-models,Presentation-Ready Data Summary and Analytic Result Tables
User: ddsjoberg
Home Page: http://www.danieldsjoberg.com/gtsummary
regression-models,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.
User: differential-machine-learning
Home Page: https://arxiv.org/abs/2005.02347
regression-models,The repository provides usefull python scripts for ML and data analysis
User: diyago
regression-models,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.
User: dominance-analysis
Home Page: https://pypi.org/project/dominance-analysis/
regression-models,:seedling: Crop Yield Prediction using Machine Learning
User: drinkler
regression-models,:milky_way: The R easystats-project
Organization: easystats
Home Page: http://easystats.github.io/easystats
regression-models,:bar_chart: Computation and processing of models' parameters
Organization: easystats
Home Page: https://easystats.github.io/parameters/
regression-models,Dot-and-Whisker Plots of Regression Results
User: fsolt
Home Page: https://fsolt.org/dotwhisker/
regression-models,Time series prediction with Sequential Model and LSTM units
User: gcarq
regression-models,This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
User: heliphix
Home Page: https://doi.org/10.1007/s00521-020-05129-6
regression-models,Utilities for glmnet
User: hongooi73
regression-models,Electricity demand forecasting for Austin, TX, using a combination of timeseries methods and regression models
User: hvantil
regression-models,Helpers for regression analyses using `{broom}` & `{easystats}` packages π π
User: indrajeetpatil
Home Page: https://indrajeetpatil.github.io/broomExtra/
regression-models,Enhancing {ggplot2} plots with statistical analysis ππ£
User: indrajeetpatil
Home Page: https://indrajeetpatil.github.io/ggstatsplot/
regression-models,A statistical framework that serves as a common interface to a large range of models
Organization: iqss
Home Page: http://zeligproject.org
regression-models,Curso de IntroducciΓ³n a Machine Learning con Python
User: joanby
Home Page: https://www.udemy.com/course/machinelearningpython/
regression-models,Una introduccion al analisis de datos con R y R Studio
User: joanby
Home Page: https://www.udemy.com/r-data-science/?couponCode=GIT_JB
regression-models,Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
Organization: juliaai
regression-models,Implementation of Query-guided Regression Network with Context Policy for Phrase Grounding in Tensorflow
User: kanchen-usc
regression-models,Some experiments about Machine Learning
User: llhthinker
regression-models,:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
User: m-clark
Home Page: https://m-clark.github.io/bayesian-basics/
regression-models,Now you can get Flight ticket fare with this wonderful end to end project.
User: mandal-21
Home Page: https://flight-price-prediction-api.herokuapp.com/
regression-models,Machine Learning notebooks for refreshing concepts.
User: maykulkarni
regression-models,Applied Econometrics Library for Python
User: mfarragher
Home Page: https://appelpy.readthedocs.io/
regression-models,Model verification, validation, and error analysis
Organization: modeloriented
Home Page: https://modeloriented.github.io/auditor/
regression-models,Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Organization: moderndive
Home Page: https://www.moderndive.com/
regression-models,Basic statistical modelling examples.
User: mrtkp9993
regression-models,A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks
User: netanelshoshan
regression-models,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:
User: nishkarshraj
Home Page: http://github.com/NishkarshRaj
regression-models,a collection of modern sparse (regularized) linear regression algorithms.
User: ohjeah
regression-models,A python class for enhancing the spatial resolution of satellite-derived Land Surface Temperatures (LST) using statistical downscaling.
User: pansism
regression-models,A Python library for moderation, mediation and conditional process analysis.
User: quentinandre
regression-models,Deterministic algorithms for objective Bayesian inference and hyperparameter optimization
User: rnburn
Home Page: https://buildingblock.ai/
regression-models,Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update
User: robertvacareanu
regression-models,In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
User: rohannaik
regression-models,Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
User: sakib1263
regression-models,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.
User: sankeshyadav98
Home Page: https://www.coursera.org/professional-certificates/google-advanced-data-analytics#outcomes
regression-models,Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
Organization: statisticalrethinkingjulia
regression-models,Statsmodels: statistical modeling and econometrics in Python
Organization: statsmodels
Home Page: http://www.statsmodels.org/devel/
regression-models,Python implementation of the R stargazer multiple regression model creation tool
Organization: statsreporting
regression-models,Effect size measures and significance tests
User: strengejacke
Home Page: https://strengejacke.github.io/sjstats
regression-models,A Python/C++ implementation of Bayesian Factorization Machines
User: tohtsky
Home Page: https://myfm.readthedocs.io
regression-models,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Organization: uber
Home Page: https://orbit-ml.readthedocs.io/en/stable/
regression-models,2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Organization: unslothai
Home Page: https://hyperlearn.readthedocs.io/en/latest/index.html
regression-models,Introducing neural networks to predict stock prices
User: vivekpa
regression-models,The foundational library of the Morpheus data science framework
Organization: zavtech
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