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23 search results found

Machine Learning in R

Dataexplorer ⭐ 486

Automate Data Exploration and Treatment

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

Machineshop ⭐ 62

MachineShop: R package of models and tools for machine learning

Website sources for Applied Machine Learning for Tabular Data

BAS R package https://merliseclyde.github.io/BAS/

Data Science ⭐ 39

Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)

Market Mix Modeling ⭐ 26

Market Mix Modeling for an eCommerce firm to estimate the impact of various marketing levers on sales

Modelgrid ⭐ 23

A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models

tidymodels code for Applied Predictive Modeling

Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)

Statistical Learning Using R ⭐ 16

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Mljar Api R ⭐ 15

R wrapper for MLJAR API

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Ichps2015_class_imbalance ⭐ 8

Data and code for "Predictive Modeling on Data with Severe Class Imbalance: Applications on Electronic Health Records"

R_clinical_model ⭐ 7

R语言实战临床预测模型

Text Message Classification ⭐ 6

Classify messages as Spam or Ham using a simple Naive bayes classifier. After training the Model , next deployment of a web app build on shiny to filter text messages.

Caret Workshop ⭐ 5

Applied Predictive Modeling with caret

Bcpm Msaenet ⭐ 5

Solution for the precisionFDA Brain Cancer Predictive Modeling Challenge using msaenet

Data Analysis On Hospital Readmission Data ⭐ 5

Analysis on hospital readmission data for diabetic patients using R and Tableau

Nfl Predictions ⭐ 5

NFL is one of the most followed game having millions of followers all around the world.The current work involves the prediction of NFL match results by using a custom model incorporating a deep neural network and ticket prices for the match using regression modelling. This work considers the most important factor in NFL, the momentum. The prediction model has the capability to get better accuracy than previous models reported. All predictions are made for Week 17 by learning from Week 1 –16’s da

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