301 Open source projects that are alternatives of or similar to Randomforestexplainer

R package: Methods that Apply to Rows and Columns of Matrices (and to Vectors)

Search R packages on CRAN

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

Library for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS

Diagnostics for HierArchical Regession Models

An R client for the Federal Reserve Economic Data (FRED) API

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Modules in R

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

📢 🚢 R package to summarize CRAN Check Results in the Terminal

An Arsenal of 'R' Functions for Large-Scale Statistical Summaries

R toolkit for single cell genomics

CRAN R Package: Time Series Missing Value Imputation

Manipulating labelled vectors in R

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.

Seamless embedding of R in C++ programs

Nanosecond Resolution Time Functionality for R

Shortest Paths and Travel Time from OpenStreetMap with R

R Package: Parallel Distance Matrix Computation using Multiple Threads

Add More Interactivity to htmlwidgets

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Mining Association Rules and Frequent Itemsets with R

R Interface to Open Neural Network Exchange (ONNX)

A python library for decision tree visualization and model interpretation.

The Scott-Knott Effect Size Difference (ESD) test

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

A framework for data stream modeling and associated data mining tasks such as clustering and classification. - R Package

Shiny applications internationalisation made easy

A Suite of Packages for Analysis of Big Genomic Data

YouTube Like Count Predictions using Machine Learning

forecast package for R

📊 mschart: office charts from R

gesture recognition toolkit

Interfaces for Multivariate Analysis in R

A curated list of gradient boosting research papers with implementations.

A place for the development version of the changepoint package on CRAN.

ThunderGBM: Fast GBDTs and Random Forests on GPUs

d3.js helpers for R

Seamless R and C++ Integration

openxlsx - a fast way to read and write complex xslx files

Generalized Random Forests

Edward Tufte-Inspired Slopegraphs

an R package which converts markdown files (.md, .Rmd) into mindmaps (brainstorms)

Text Classification Algorithms: A Survey

HTML output formats for RMarkdown documents

R package interfacing the Bloomberg API from https://www.bloomberglabs.com/api/

R package of data and code behind the stories and interactives at FiveThirtyEight

Linl Is Not Letter -- Markdown-based LaTeX Letter Template

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Machine Learning inference engine for Microcontrollers and Embedded devices

R package to interface with OpenML

Fast and versatile argument checks

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

An Import Mechanism For R

R package to create "Table 1", description of baseline characteristics with or without propensity score weighting

Drat R Archive Template

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)