mlr

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

基于 Pytorch 实现推荐系统相关的算法

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

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

Filter-based feature selection for mlr3

The mlr package online tutorial

Meta-learning basic suite for machine learning experiments.

🪙 Linear regression model, predict monthly transaction amount

Big Data Derby Racing Dataset's Analysis Project

OCaml wrapper on top of R to perform Multiple Linear Regression

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 years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.

Micro-reserve model using XGBoost

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

Exercises to practice the Miller (`mlr`) tool

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