Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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Updated
Jan 31, 2024 - Python
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Machine Learning in R
Toolbox for Bayesian Optimization and Model-Based Optimization in R
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
shiny-mlr: Integration of the mlr package into shiny
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…
Filter-based feature selection for mlr3
Package provides javascript implementation of linear regression and logistic regression
Easy Hyper Parameter Optimization with mlr and mlrMBO.
Meta-learning basic suite for machine learning experiments.
This Git is part of the class of applied regression methods, examples, exercises, etc.
R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection
OCaml wrapper on top of R to perform Multiple Linear Regression
🪙 Linear regression model, predict monthly transaction amount
Big Data Derby Racing Dataset's Analysis Project
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