mlr
There are 58 repositories under mlr topic.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
mlr-org/mlr
Machine Learning in R
mlr-org/mlrMBO
Toolbox for Bayesian Optimization and Model-Based Optimization in R
QikaiXu/Recommender-System-Pytorch
基于 Pytorch 实现推荐系统相关的算法
Hirosora/LightCTR
LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
Coorsaa/shinyMlr
shiny-mlr: Integration of the mlr package into shiny
chen0040/js-regression
Package provides javascript implementation of linear regression and logistic regression
jakob-r/mlrHyperopt
Easy Hyper Parameter Optimization with mlr and mlrMBO.
redichh/ShapleyR
Package for a nice and smoothe usage of the shapley value for mlr
mlr-archive/mlr-tutorial
The mlr package online tutorial
mlr-org/mlr3filters
Filter-based feature selection for mlr3
rgmantovani/mtlSuite
Meta-learning basic suite for machine learning experiments.
ndleah/transactions
🪙 Linear regression model, predict monthly transaction amount
hita03/Derby-Horse-Racing
Big Data Derby Racing Dataset's Analysis Project
UnixJunkie/omlr
OCaml wrapper on top of R to perform Multiple Linear Regression
vaitybharati/Assignment-05-Multiple-Linear-Regression-2
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.
gabrielcrepeault/xgbmr
Micro-reserve model using XGBoost
GuilloteauQ/miller-exercises
Exercises to practice the Miller (`mlr`) tool
shramkoartem/nsga3
R implementation of the Non-dominated Sorting Genetic Algorithm III for multi objective feature selection
moritzkoerber/ensemble_machine_learning_comparison
A comparison of various ensemble machine learning algorithms (XGboost, random forest, ranger) to predict accelerometers
sleepbysleep/variable_selection
Variable selection for NIR spectral analysis(regression and classification) based on WRC, VIP, SFS, and SPA
AlessioChen/Multi-Class-Logistic-Regression-with-Optimization-Methods
Implementation of Trust Region and Gradient Descent methods for Multinomial Regression
andrewcparnell/intro_to_ml
An introductory machine learning course of 1-2 hours
j-b-ferguson/covid-19-victoria-regression-analysis
Using regression analysis to create a prediction model to forecast Victorian COVID-19 cases.
Prem-98/Multi-linear-regression
MLR assignment
sevak-crypto/MLR
multiple linear regression code with examples in python and JS
coder5omkar/Linear-Regression-Bike-Sharing-Assignment
This project aims to model the demand for shared bikes using various independent variables. The goal is to provide insights to the management team, helping them understand how demand fluctuates with different features
embarbos/air-pollution-data-analysis
Final Project for STA 135 with Dr. Xiucai Ding
felix-reichel/woombikes-price-contagion
Repo for VU Online Market Places - Course essay.
IshitaBharadwaj/Derby-Horse-Racing-DA
Big Data Derby Racing Dataset's Analysis Project
SnowyPainter/refactored-engine
선물 지수와 주가의 상관 관계에 대한 연구와 분석
yinaS1234/Predict-Auto-Crash
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.
yuliyamkh/sleep-disorder-prediction
Sleep Disorder Prediction with Multinomial Logistic Regression
coder5omkar/Multiple-Linear-Regression
This repository provides a comprehensive implementation of Multiple Linear Regression (MLR) for predictive modeling. It includes detailed steps for preprocessing data, handling categorical variables, and visualizing relationships between features.
Himnish/churn-prediction-analysis
Using a telecom company's data of services provided to customers and observing how customers use it to predict if they will decide to continue or cease to be a customer of the company.
return215/student-health-risk-analysis-practice
Data Analysis and Regression Practice using open dataset