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DeepCTR

shenweichen /DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deep-learning factorization-machines recommendation mlr ffm ctr din deepfm click-through-rate ple xdeepfm deepinterestnetwork nfm deepcross autoint esmm dien deepinterestevolutionnetwork fgcnn mmoe

UpdatedAug 9, 2024
Python

mlr-org /mlr

Machine Learning in R

data-science machine-learning cran tutorial r statistics clustering regression feature-selection tuning classification survival-analysis r-package hyperparameters-optimization predictive-modeling imbalance-correction mlr learners stacking multilabel-classification

UpdatedAug 12, 2024
R

mlr-org /mlrMBO

Toolbox for Bayesian Optimization and Model-Based Optimization in R

r optimization hyperparameter-optimization r-package mlr model-based-optimization black-box-optimization bayesian-optimization mlrmbo

UpdatedSep 14, 2023
R

QikaiXu /Recommender-System-Pytorch

基于 Pytorch 实现推荐系统相关的算法

afm pytorch recommender-system mlr fm ffm dcn din lr deepfm fnn lfm pnn nfm dien deep-crossing gbdt-lr neural-cf wide-deep

UpdatedNov 17, 2021
Jupyter Notebook

Hirosora /LightCTR

LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

afm tensorflow tf2 mlr wide-and-deep ctr cvr deepfm fnn click-through-rate xdeepfm pnn nfm autoint nffm fgcnn ccpm convertion-rate deep-and-cross fibinet

UpdatedOct 30, 2023
Python

Coorsaa /shinyMlr

shiny-mlr: Integration of the mlr package into shiny

machine-learning r shiny data-visualization data-analysis r-package shiny-apps mlr

UpdatedAug 19, 2018
R

jakob-r /mlrHyperopt

Easy Hyper Parameter Optimization with mlr and mlrMBO.

machine-learning r optimization hyperparameter-optimization r-package mlr tuning-parameters learners

UpdatedJan 5, 2022
HTML

chen0040 /js-regression

Package provides javascript implementation of linear regression and logistic regression

nodejs javascript linear-regression logistic-regression mlr linear-regression-models binary-classification

UpdatedNov 23, 2017
JavaScript

redichh /ShapleyR

Package for a nice and smoothe usage of the shapley value for mlr

UpdatedMar 5, 2019
R

mlr-archive /mlr-tutorial

The mlr package online tutorial

mlr mlr-tutorial

UpdatedJul 20, 2018
HTML

mlr3filters

mlr-org /mlr3filters

Filter-based feature selection for mlr3

r filter variable-importance feature-selection filters r-package mlr mlr3

UpdatedJan 29, 2025
R

rgmantovani /mtlSuite

Meta-learning basic suite for machine learning experiments.

regression classification mlr multi-target meta-learning

UpdatedAug 31, 2022
R

ndleah /transactions

🪙 Linear regression model, predict monthly transaction amount

data-science linear-regression transactions mlr financial-modeling

UpdatedFeb 15, 2023
R

UnixJunkie /omlr

OCaml wrapper on top of R to perform Multiple Linear Regression

linear-regression ocaml-library mlr miltiple-linear-regression

UpdatedFeb 14, 2023
OCaml

vaitybharati /Assignment-05-Multiple-Linear-Regression-2

Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few y…

python numpy smf eda p-value mlr ols-regression statsmodels correlation-analysis collinearity-diagnostics heteroscedasticity vif rsquare-values pairplot multi-linear-regression leverage-score residual-analysis cooks-distance homoscedasticity regress-exog

UpdatedJun 12, 2021
Jupyter Notebook

hita03 /Derby-Horse-Racing

Big Data Derby Racing Dataset's Analysis Project

clustering regression eda horse-racing mlr derby-database

UpdatedDec 20, 2022
Jupyter Notebook

gabrielcrepeault /xgbmr

Micro-reserve model using XGBoost

r shiny xgboost mlr claims-reserving iml xgbmr

UpdatedDec 21, 2019
R

GuilloteauQ /miller-exercises

Exercises to practice the Miller (`mlr`) tool

tsv csv data-analysis mlr miller

UpdatedSep 12, 2024
Nix

shramkoartem /nsga3

R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection

r genetic-algorithm feature-selection population multi-objective-optimization mlr nsga-iii genetic-optimization-algorithm non-dominated-sorting nsga3 pareto-fronts

UpdatedFeb 19, 2019
R

moritzkoerber /ensemble_machine_learning_comparison

A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers

machine-learning r random-forest machine xgboost caret mlr

UpdatedAug 31, 2019
R

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