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

Machine Learning in R

基于 Pytorch 实现推荐系统相关的算法

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

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

OCaml wrapper on top of R to perform Multiple Linear Regression

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 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

Exercises to practice the Miller (`mlr`) tool

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

Variable selection for NIR spectral analysis(regression and classification) based on WRC, VIP, SFS, and SPA

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

An introductory machine learning course of 1-2 hours

Applied advanced data cleaning and modeling techniques to predict auto insurance claims, focusing on crash probability and claim amounts. Expertise in handling high-dimensional, messy datasets and building interpretable models supports risk assessment and operational efficiency in the insurance domain.

MLR assignment

Data Analysis and Regression Practice using open dataset

multiple linear regression code with examples in python and JS

Machine Learning algorithms in R

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Documents on Packages and Concepts of Machine learning