satopan Goto Github PK

100knocks-preprocess

データサイエンス100本ノック（構造化データ加工編）

age-prediction

algorithms

This repository is for learning and understanding how algorithms work.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesomebook

beem-static

📦BEEM-Static: An R package for inferring microbial interactions based on Lotka-Volterra models

bookdown

Authoring Books and Technical Documents with R Markdown

cibook-python

codaseq

Functions for compositional analysis of high throughput sequencing

cwl

Common Workflow Language tools and workflows by Pitagora-Network

dalex

moDel Agnostic Language for Exploration and eXplanation

data-science-at-the-command-line

Data Science at the Command Line

data-science-lecture

Udemy講座「伝えて動かすデータサイエンス」用の教材リポジトリ

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

demo-co

Example artifacts used by an example company.

dietstudy_analyses

dmbvs

Dirichlet-Multinomial Bayesian Variable Selection

docker-stacks

Ready-to-run Docker images containing Jupyter applications

dotfiles

repository of my own dotfiles

dpp-cookbook

Baked your data :)

exploratory_func

R functions for Exploratory

fes

Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson

finalfit

Quickly create elegant regression results tables and plots when modelling in R

food_tree

USDA Nutrition codes Tree

free_python_tips

free_r_tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every Tuesday.

frontiers_2017

Supplement for Frontiers article

hello_rmarkdown

host_gene_microbiome_interactions

Analysis framework for integrating gut microbiome and host gene expression data

hypertools

A Python toolbox for gaining geometric insights into high-dimensional data