Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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Updated
Aug 9, 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
Easy Hyper Parameter Optimization with mlr and mlrMBO.
Package provides javascript implementation of linear regression and logistic regression
Filter-based feature selection for mlr3
OCaml wrapper on top of R to perform Multiple Linear Regression
Meta-learning basic suite for machine learning experiments.
🪙 Linear regression model, predict monthly transaction amount
Big Data Derby Racing Dataset's Analysis Project
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…
R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection
A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers
Implementation of Trust Region and Gradient Descent methods for Multinomial Regression
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