Pinned Repositories
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
docker-stacks
Ready-to-run Docker images containing Jupyter applications
dpp-cookbook
Baked your data :)
satopan's Repositories
satopan/docker-stacks
Ready-to-run Docker images containing Jupyter applications
satopan/dpp-cookbook
Baked your data :)
satopan/algorithms
This repository is for learning and understanding how algorithms work.
satopan/awesomebook
satopan/CoDaSeq
Functions for compositional analysis of high throughput sequencing
satopan/cwl
Common Workflow Language tools and workflows by Pitagora-Network
satopan/data-science-at-the-command-line
Data Science at the Command Line
satopan/dietstudy_analyses
satopan/dmbvs
Dirichlet-Multinomial Bayesian Variable Selection
satopan/FES
Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson
satopan/Food_Tree
USDA Nutrition codes Tree
satopan/Frontiers_2017
Supplement for Frontiers article
satopan/hello_rmarkdown
satopan/hypertools
A Python toolbox for gaining geometric insights into high-dimensional data
satopan/IBSMicrobiota
satopan/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
satopan/ISCPP
Introduction to Scientific Computing and Programming in Python
satopan/ISLR-Labs
Working through the labs of Introduction to Statistical learning with R by Hastie et al.
satopan/microbiomeHD
Cross-disease comparison of case-control gut microbiome studies
satopan/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.
satopan/pls
The pls R package
satopan/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
satopan/r-pkgs
Building R packages
satopan/r4ds
R for data science
satopan/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.
satopan/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。
satopan/ShinyBook
satopan/statistics-for-data-scientists
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
satopan/support
『アジャイルサムライ』のサポートページです
satopan/taxa
taxonomic classes for R