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481 search results found

Clustassess ⭐ 13

Tools for assessing clustering robustness

Time_series_anomaly_detection_examples ⭐ 13

Several examples of anomaly detection algorithms for time series data.

Aera Workshop ⭐ 13

This workshop introduces participants to the Learning Analytics (LA), and provides a brief overview of LA methodologies, literature, applications, and ethical issues as they relate to STEM education.

Mlr3fairness ⭐ 13

mlr3 extension for Fairness in Machine Learning

Sdmbench ⭐ 13

Benchmarking Species Distribution Models

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

Rtensorflow ⭐ 13

GSoC '17 - R language bindings for TensorFlow

Machine Learning Templates ⭐ 13

Ibm Ai Day ⭐ 13

Presentation for IBM Community Day AI

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Healthyr.ai ⭐ 13

healthyR.ai - AI package for the healthyverse

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Text Mining ⭐ 12

Clean corpus generic script made with tm package

Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression discontinuity designs)

Introduction To Statistical Learning Labs ⭐ 12

Documenting ISLR's Labs - Educational Purposes Only

Workshop_2018_dsgo ⭐ 12

DataScienceGO 2018 - Machine Learning Workshop

Machine Learning algorithms coded from scratch

Sololearn Course Projects ⭐ 12

All my solo learn course projects and certificates

🧲 Multi-step adaptive estimation for reducing false positive selection in sparse regressions

📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

Sbgnview ⭐ 12

R interface for OSQP

Ftrlproximal ⭐ 12

R package for online training of regression models using FTRL Proximal

Lmtp Tutorial ⭐ 11

Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)

Tmle3shift ⭐ 11

🎯 🎲 Targeted Learning of the Causal Effects of Stochastic Interventions

SNE Simulation Dataset Functions

Haldensify ⭐ 11

📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

Animl comprises a variety of machine learning tools for analyzing ecological data. The package includes a set of functions to classify subjects within camera trap field data and can handle both images and videos.

TSPred Package for R : Framework for Nonstationary Time Series Prediction

High Dimensional Discriminant Analysis in R ✨

Outforest ⭐ 11

Outlier detection based on random forest models

Causalglm ⭐ 11

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

Terrytangyuan.github.com ⭐ 11

Reinvent2020 Aim404 Productionize R Using Amazon Sagemaker ⭐ 11

Customers using R can run simulation and machine learning securely and at scale with Amazon SageMaker while also reducing the cost of development by using the fully elastic resources in the cloud. In this demo, learn how to build, train, and deploy statistical and ML models in R at scale using Amazon SageMaker from your IDE.

Kaggle Scripts R Pydata ⭐ 11

Kaggle scripts: R vs pydata + most popular R and Python packages for Machine Learning

allowing R users to work with dlib through Rcpp

Cryptocurrencyresearch Org ⭐ 11

Repository that updates an R tutorial every 12 hours (see link below)

Diabetes_prediction ⭐ 11

This project aims to predict the type 2 diabetes, based on the dataset. It uses machine learning model,which is trained to predict the diabetes mellitus before it hits.

Latentcor ⭐ 11

latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).

Masters_thesis_on_global_terrorism ⭐ 11

Gitbook version: https://pr0x2b.github.io/masters_thesis_on_global_

Tree.interpreter ⭐ 10

Decision tree interpreter for randomForest/ranger as described in

Metricsweighted ⭐ 10

R package for weighted model metrics

Sparsediscrim ⭐ 10

Sparse and Regularized Discriminant Analysis in R

State Of The Union ⭐ 10

A dataset of transcripts from every State of the Union (SOTU) address

Womens Data Science Study Group Calgary ⭐ 10

Analyticssummit19 ⭐ 10

Material for 2019 Analytics Summit Machine Learning with R Training

Smallsets ⭐ 10

Visual documentation for data preprocessing in R and Python

Letter Recognition ⭐ 10

ℹ️ Application of Machine Learning techniques to identify randomly distorted capital letters in the English alphabet.

Medoutcon ⭐ 10

📦 R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects

Mlr3tuningspaces ⭐ 10

Collection of search spaces for hyperparameter optimization in the mlr3 ecosystem

Mlr3misc ⭐ 10

Miscellaneous helper functions for mlr3

Learnrvideos ⭐ 10

📼 Videos for learning about R

Mdeeplearn ⭐ 10

📚 🍑 Machine Learning and Deep Learning with examples.

Splittools ⭐ 10

Light weight R package to do fast data splitting for cross-validation or train/valid/test splits

Tidytrees ⭐ 10

tidytrees: a package for a tidy representation of decision trees.

Densratio ⭐ 10

An R Package for Density Ratio Estimation

Unifying interface for several ml packages

Keras_tensorflow_on_iris ⭐ 10

A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio

Ml4calibrated450k ⭐ 10

This is a companion repository for the article "Comparative analysis of machine learning classifiers and calibration algorithms for estimating class probabilities for personalized cancer diagnostics on DNA methylation microarray data"

Data Science courses in R from HarvardX

Predict_tc ⭐ 9

Predict the Critical Temperature of a Superconductor

Collection of YouTube videos on data science on the Data Professor YouTube channel.

Automated machine learning in R

A quick reference for how to run many models in R.

Kaggle_bosch_production_line_performance ⭐ 9

Kaggle Bosch Production Line Performance, NO.74/top 6% (post competition analysis) 生產線分析、前 6 % ( 賽後分析 )

An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

Nhanes R Programming ⭐ 9

This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc

Boilerplate For Django Ml Model Deployment ⭐ 9

A Django wrapper that can be used for building web apps for Machine Learning projects.

Cinday Rug Iml 2018 ⭐ 9

Slides and other material for Cincinnati-Dayton useR presentation on interpretable machine learning with R

Data Engineering ⭐ 9

Common data manipulations in different languages and frameworks.

A web-based platform for annotating short-text documents to be used in applied text-mining based research.

Ai Jack Opensource R ⭐ 9

A machine learning pipeline accelerator, written in a form of R library.

R package to impute methylation within WGBS using machine learning

Linkorgs Software ⭐ 9

LinkOrgs: An R package for linking linking records on organizations using half-a-billion open-collaborated records from LinkedIn

A comprehensive R package for label-free proteomics data analysis and modeling

Learning Finite State Machine Models from Data with a Genetic Algorithm

Ekg_analysis ⭐ 9

EKG Analysis code for the MI3 intern group at CHOC Children's

Data Scribers ⭐ 9

{data scribers} is a collection of posts about data science. And unlike other content aggregating sites, this one encourages people to visit the blog's actual site.

Greek Electric Load Forecasting Ipto ⭐ 9

This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be found at the following website:

R Workshops ⭐ 9

Pandora Backend ⭐ 9

Back-end interface for PANDORA https://github.com/genular/pandora

Tutorial Machine Learning Based Survival Analysis ⭐ 9

This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.

An extension to the R tidyverse for automated ML. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.

Bayesian Logistic Regression with Hyper-LASSO priors

Recommendation Engine ⭐ 8

Recommendation engine and it's algorithms in python , R .

Rayleighselection ⭐ 8

An R package for feature selection in topological spaces.

Core pipeline of GenoML

Pnustat_lec_201912 ⭐ 8

2019/12/26 ~ 27일, 2 ~ 5pm R, ML, h2o 특강

Pydatabratislava ⭐ 8

All the documents for PyDataBratislava

Data Science Portfolio ⭐ 8

Portfolio including my data science projects for academic, self-learning, and hobby.

Nowcastlstm ⭐ 8

R wrapper for nowcast_lstm Python library. Long short-term memory neural networks for economic nowcasting.

Illustrations ⭐ 8

This repository contains illustrations to explain concepts in data (science).

Dynamic Investment Model Based On Machine Learning ⭐ 8

《基于机器学习的动态投资模型》——本人在2020第三届中青杯全国大学生数学建模赛B题本科生组全国一等 investment model based on machine learning"-my solution and process code in the undergraduate group of the 3rd China Youth Cup National University Mathematical Modeling Competition in 2020 (National first prize)

Machine Learning ⭐ 8

Basic Machine Learning Tutorial

Repo for practical data science problems approaches, including notebook demo and working scripts | #DS | #analysis

🧠 A simple feedforward neural network

📦 Tools for Omics Data Analysis

Classification_churn_with_parsnip ⭐ 8

Modelling with Tidymodels and Parsnip - A Tidy Approach to a Classification Problem

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