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applied_predictive_modeling_booknotes

My boknotes for Applied Predictive Modeling, by M. Kuhn and K. Johnson.

bds-files

Supplementary files for my book, "Bioinformatics Data Skills"

cebellansantiagofm

Trabajo final de Fundamentos Matemáticos de Santiago Cebellán

courserajhudatasciencecapstone

Capstone Project for the Coursera JHU Data Science Specialization

dagdata

Data for the HarvardX courses: PH525x

data-science-at-the-command-line

Data Science at the Command Line

deep-learning-a-visual-approach

All of the figures and notebooks for my deep learning book, for free!

deep-learning-crash-course-notebooks

Notebooks and Colab links for the code samples for the Manning video course "Deep Learning Crash Course"

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

docker-stacks

Ready-to-run Docker images containing Jupyter applications

dogs-vs-cats-benchmark

Benchmarking Azure Machine Learning Services for training a model with GPU and PyTorch. Full post at Medium

firstcontactwithtensorflow-2ndedition

FirstContactWithTensorFlow-2nEdition

fma_chicagocrime_rodrigolopezdetoledo

fme_maps

fpp3_booknotes

fundamentos

fundamentos_matematicos

Repositorio para alojar el trabajo de Fundamentos matemáticos

fundamentosmatematicos

En este repo se tienen todos los archivos e informes generados para la práctica final de fundamentos matemáticos

galaxy

Data intensive biology for everyone.

gdp-analysis

genbioconductor

Materials for Genomics Data Science: Introduction to Bioconductor

googlecolab_homlr

gsoc2018

R project in Google Summer of Code 2018

happy-git-with-r

Using Git and GitHub with R, Rstudio, and R Markdown

icai_mathematics_firmographicsproject

Final project for the ICAI MBD master's subject: "Mathematical foundations of Big Data"

jupyternotebooks

labs

Rmd source files for the HarvardX series PH525x

logisticregressioncoursera

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

mastering-parallel-programming-with-r

Code file for Mastering Parallel Programming with R by Packt Publishing