A package that lets you create TradingView screeners in Python

The official Python client library for Databento

Performant financial charts built with HTML5 canvas

Exercises from Hefin I. Rhys' book, "Machine Learning with R, the tidyverse and mlr" by Manning Press

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

A python client for Rserve (network layer to remote R server)

Call R from R

R interface to 'twelvedata' API

a boosting-based Multiple Instance Learning (MIL) package that includes MIL-Boost and MCIL-Boost

Time series features

Modules in R

The official GitHub repository for the Mathematics of Machine Learning book!

Deep learning framework for the mlr3 ecosystem based on torch

CRAN Task View: Econometrics

Recurrent Neural Networks in R

Panel Data Econometrics with R

Bayesian comparisons of models using resampled statistics

Extra recipes for Text Processing

Create a collection of modeling workflows

Extra recipes for predictor embeddings

Parsnip wrappers for survival models

Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package

parsnip Model Functions for Bagging

An R package for tidyverse-friendly statistical inference

Convert statistical analysis objects from R into tidy format

Tools for creating tuning parameter values

Tools for tidy parameter tuning

Modeling Workflows

Classes and functions to create and summarize resampling objects

Pipeable steps for feature engineering and data preprocessing to prepare for modeling