sparserega collection of modern sparse (regularized) linear regression algorithms.
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broomExtraHelpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
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joineRMLR package for fitting joint models to time-to-event data and multivariate longitudinal data
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bessBest Subset Selection algorithm for Regression, Classification, Count, Survival analysis
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cvAUCComputationally efficient confidence intervals for cross-validated AUC estimates in R
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regression-pythonIn this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
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numericslibrary of numerical methods using Armadillo
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HARRecognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
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origami🎲 🔮 Comprehensive Cross-Validation Engine
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resamplrR package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
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timeseries-cvTime-Series Cross-Validation Module
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osprey🦅Hyperparameter optimization for machine learning pipelines 🦅
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subsemblesubsemble R package for ensemble learning on subsets of data
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modeltime.resampleResampling Tools for Time Series Forecasting with Modeltime
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assignPOPPopulation Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.
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MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
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sanSpatial Modelling for Data Scientists
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sklearndfDataFrame support for scikit-learn.
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StatsmodelsStatsmodels: statistical modeling and econometrics in Python
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stargazerPython implementation of the R stargazer multiple regression model creation tool
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dotwhiskerDot-and-Whisker Plots of Regression Results
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Countries-GDP-predictionDeveloped a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.
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DeepPDEDeep Learning application to the partial differential equations
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Kaggle-Competition-SberbankTop 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
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FTRLProximalR package for online training of regression models using FTRL Proximal
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Age-PredictionThis Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.
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calcuMLatorAn intelligently dumb calculator that uses machine learning
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auditorModel verification, validation, and error analysis
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rollRegresR package for fast rolling and expanding linear regression models
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dominance-analysisThis 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.
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gold-price-analysisCreating a model to analyze and predict the trend of the prices of gold.
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pyspark-ML-in-ColabPyspark in Google Colab: A simple machine learning (Linear Regression) model
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bbaiSet model hyperparameters using deterministic, exact algorithms.
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Sales-PredictionIn depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.
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srqmAn introductory statistics course for social scientists, using Stata
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