satopan Goto Github PK

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

iscpp

Introduction to Scientific Computing and Programming in Python

islr-labs

Working through the labs of Introduction to Statistical learning with R by Hastie et al.

manta

Integrative database and analysis platform that relates microbiome and phenotypic data.

math-for-programmers

Source code for the book, Math for Programmers

microbiome

microbiome R package

microbiome-tools

For tool creators to share their inventions that analyze, visualize, and make meaning of microbiome data.

microbiomehd

Cross-disease comparison of case-control gut microbiome studies

microbiomemarker

R package for microbiome biomarker discovery

microshades

This repo contains the R microshades package, which contains a color blind accessible color palette with 30 unique colors and functions for applying these colors to microbiome data.

omicexperiment

The omicexperiment package is an open-source, BSD-licensed, Python 3 package for analysis of dataframes of 'omic experiments', built upon the solid foundations of the Python scientific stack.

paper-r

Dockerfile

phate

PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.

pls

The pls R package

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

r-pkgs

Building R packages

r4ds

R for data science

radiant

Business analytics using R and Shiny. The radiant app combines the menus from radiant.data, radiant.design, radiant.basics, radiant.model, and radiant.multivariate.

rproject

Git/GitHub、Docker、RStudio、renv を利用した R プロジェクトのひな形

rstanbook

『StanとRでベイズ統計モデリング』のサポートページです.

sciencer

Wonderful R4 自然科学研究のためのR入門: 再現可能なレポート執筆実践 のサポートページです。

seqtime

The seqtime R package provides functions to analyse sequencing data time series and to simulate community dynamics

shiny-examples

shinybook

siuba

Python library for using dplyr like syntax with pandas and SQL

somatori_kunisato_2019_replication_study

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

support

『アジャイルサムライ』のサポートページです

taxa

taxonomic classes for R

user2020-text-modeling-tutorial