slang1998's repositories

awesome-courses

:books: List of awesome university courses for learning Computer Science!

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-R

A curated list of awesome R packages, frameworks and software.

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cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

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courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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data-science-blogs

A curated list of data science blogs

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data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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DataSciencePython

common data analysis and machine learning tasks using python

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DataScienceR

a curated list of R tutorials for Data Science, NLP and Machine Learning

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deep_learning_ex

Deep learning examples

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go

The Open Source Data Science Masters

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h2o-3

Open Source Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA...)

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introduction_to_ml_with_python

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

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ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

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jailbreakr

Get out of Excel free.

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learnGitBranching

An interactive git visualization to challenge and educate!

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ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

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mlr

mlr: Machine Learning in R

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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r4ds

R for data science

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RTVS-docs

RTVS documentation and samples

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sc17

SuperComputing 2017 Deep Learning Tutorial

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spark-notebook

Interactive and Reactive Data Science using Scala and Spark.

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TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

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useR-machine-learning-tutorial

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

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webinars

Code and slides for RStudio webinars

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