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

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

shiny-mlr: Integration of the mlr package into shiny

基于 Pytorch 实现推荐系统相关的算法

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

The mlr package online tutorial

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.

Micro-reserve model using XGBoost

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

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.

An introductory machine learning course of 1-2 hours

multiple linear regression code with examples in python and JS

Using regression analysis to create a prediction model to forecast Victorian COVID-19 cases.

Files for this blog post: https://moritzkoerber.github.io/analysis/r/2019/07/24/blogpost/

Machine Learning algorithms in R

Exploring multiple linear regression methods and techniques while trying to predict the cost of health insurance for a set of individuals using R.

prediction modelling using mlr on bike data

Documents on Packages and Concepts of Machine learning

This Git is part of the class of applied regression methods, examples, exercises, etc.

Classifying NBA player position based solely on performance statistics

A 🐳 image to be used on biocai HPC machines

Predicting House Price on Boston dataset using Multiple Linear Regression model

Predicting net yearly revenue of Top 50 US startups on the basis of their financial data.