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481 search results found

Whitehat ⭐ 66

Information about my experiences in cybersecurity 💀

Machine Learning With R Third Edition ⭐ 64

Machine-Learning-with-R-Third-Edition, published by Packt

PyTorch bindings for R

Meetups Archivos ⭐ 62

Ppts, códigos y videos de las meetups, data science days, videollamadas y workshops. Data Science Research es una organización sin fines de lucro que busca difundir, descentralizar y difundir los conocimientos en Ciencia de Datos e Inteligencia Artificial en el Perú, dando oportunidades a nuevos talentos mediante MeetUps, Workshops y Semilleros de Conocimiento e Investigación.

Machineshop ⭐ 62

MachineShop: R package of models and tools for machine learning

Agtboost ⭐ 62

Adaptive and automatic gradient boosting computations.

Machine_learning ⭐ 62

Tutorials/tips on machine learning related topics

Pipeliner ⭐ 61

Machine learning pipelines for R.

exploratory data analysis using random forests

Model verification, validation, and error analysis

Alexa Lambda Linux (ALL) Reference Design - IoT and ML at the edge.

R Course ⭐ 59

Una introduccion al analisis de datos con R y R Studio

Diffpriv ⭐ 58

Easy differential privacy in R

Mlstudio ⭐ 58

The ML Studio Package

R package for SHAP plots

Telco Customer Churn In R And H2o ⭐ 57

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

R package for Distance Metric Learning

Scalable joint species distribution modeling

Epitweetr ⭐ 54

ECDC Early warning tool using Twitter data

Website sources for Applied Machine Learning for Tabular Data

Semi-supervised algorithm for geographical document classification

Auto ML for the tidyverse

Missranger ⭐ 53

R package "missRanger" for fast imputation of missing values by random forests.

Facial Expression Recognition ⭐ 53

The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training

Genieclust ⭐ 53

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R

Data Science Lunch And Learn ⭐ 52

Resources for weekly Data Science Lunch & Learns

Mathematicavsr ⭐ 51

Example projects, code, and documents for comparing Mathematica with R.

Retail Segmentation Based Marketing Campaing In R And H2o ⭐ 51

Showcase for using H2O and R for scoring for marketing campaign in retail

Ai Platform ⭐ 51

An open-source platform for automating tasks using machine learning models

Comp_thinking_social_science ⭐ 50

Computational Thinking for Social Scientists book project

🧬 Toolkit for generating various numerical features of protein sequences

Xai Iml Sota ⭐ 50

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm

Mikropml ⭐ 48

User-Friendly R Package for Supervised Machine Learning Pipelines

Little R utility package for making time series data more machine learning-friendly

Contextual ⭐ 47

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

Rdomains ⭐ 47

Classifying the content of domains

Datascience365 ⭐ 47

Mlr3tuning ⭐ 46

Hyperparameter optimization package of the mlr3 ecosystem

Scalable R for Machine Learning

Liquidsvm ⭐ 45

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s

Analisis Numerico Computo Cientifico ⭐ 43

Análisis numérico y cómputo científico

Miceranger ⭐ 42

miceRanger: Fast Imputation with Random Forests in R

Spotify Audio Features Data Experiment ⭐ 41

Using Spotify’s audio features API, data, and machine learning, I investigated how boring my saved songs are.

Work At Olist Data ⭐ 41

Apply for a job at Olist's Data Team: https://olist.gupy.io/

Templates, code and notes for Kirill Eremenko's Machine Learning course

Sparkxgb ⭐ 40

R interface for XGBoost on Spark

Subsemble ⭐ 39

subsemble R package for ensemble learning on subsets of data

Predictive Maintenance ⭐ 39

A notebook tutorial series for performing predictive maintenance using machine learning

🏁 API client for Kaggle

Modeltime.h2o ⭐ 38

Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.

Stock Market Sentiment Analysis ⭐ 38

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe th

Sparsebn ⭐ 37

Software for learning sparse Bayesian networks

Tweetbotornot2 ⭐ 37

🔍🐦🤖 Detect Twitter Bots!

Data Science And Machine Learning Resources ⭐ 37

List of Data Science and Machine Learning Resource that I frequently use

🚴 Kinship Adjusted Multi-Loci Best Linear Unbiased Prediction

Machine Learning ⭐ 35

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

Docker Images ⭐ 35

Out-of-box Data Science / AI platform | AI/数据科学的瑞士军刀

R package for estimating copula entropy (mutual information), transfer entropy (conditional independence), and the statistic for multivariate normality test and two-sample test

Antigen.garnish ⭐ 35

Local Interpretable (Model-agnostic) Visual Explanations - model visualization for regression problems and tabular data based on LIME method. Available on CRAN

Systemds ⭐ 35

An open source ML system for the end-to-end data science lifecycle

R Data Structures And Algorithms ⭐ 34

R Data Structures and Algorithms, published by Packt

Call R from Excel. Create new Excel functions that make use of R packages. Integrate both tools seamlessly.

Activelearning ⭐ 34

Active Learning in R

Forecastveg ⭐ 34

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Mlr3verse ⭐ 33

Meta-package for installing/updating mlr3* packages.

Naivebayes ⭐ 33

High performance implementation of the Naive Bayes algorithm in R

🎯🎓 Generalized Targeted Learning Framework

Cattonum ⭐ 32

Encode Categorical Features

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

Qoala-T is a supervised-learning tool for quality control of FreeSurfer segmented MRI data

Reinforcelearn ⭐ 32

R Package for Reinforcement Learning

Mlrhyperopt ⭐ 31

Easy Hyper Parameter Optimization with mlr and mlrMBO.

Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

R Ladies Ml 1 ⭐ 30

⭐ Files for my R-Ladies ML workshop - Supervised Learning 101 ⭐

R package for Tools for Handling Extraction of Features from Time series (theft)

Machine Learning In R ⭐ 29

This repository contains my ML scripts in R

Rforestry ⭐ 29

Broomstick ⭐ 29

🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲

Kernelshap ⭐ 28

Efficient R implementation of SHAP

Rahul_raoniar_blogs ⭐ 28

Contains code and data for "The Researchers' Guide" Medium blogs

Ml Simulations ⭐ 28

Animated Visualizations of Popular Machine Learning Algorithms

UAV related Remote Sensing Toolbox

🎀 A data mining suite for gene expression data.

Sldm4 H2o ⭐ 27

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

Machine_learning ⭐ 27

Machine learning in R

Multiview Intercellular SpaTial modeling framework

R Server Loan Credit Risk ⭐ 27

This solution template shows how to build and deploy a loan-credit-risk solution with Microsoft ML Server

Predicting March Madness ⭐ 27

Machine learning tutorial to create an entry for the Kaggle March Mania contest

Fairness ⭐ 27

R package for computing and visualizing fair ML metrics

Familiar ⭐ 27

Repository for the familiar R-package. Familiar implements an end-to-end pipeline for interpretable machine learning of tabular data.

R Deep Learning Cookbook ⭐ 26

R Deep Learning Cookbook, published by Packt

Bayeshmm ⭐ 26

Full Bayesian Inference for Hidden Markov Models

Modelmetrics ⭐ 26

Rapid Calculation of Model Metrics

🎲 🔮 Comprehensive Cross-Validation Engine

Data Analyst Nanodegree ⭐ 26

Kai Sheng Teh - Udacity Data Analyst Nanodegree

Rcppmlpack2 ⭐ 25

Rcpp Interface to mlpack (version 2.1.0 and up)

Meta-Feature Extractor

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