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notebooks

The compiled, clean (not run) Jupyter notebooks for Elegant SciPy

notes

CME211 Notes | Outline ->

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

psych252

Statistical Methods for Behavioral and Social Sciences

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-scraping

Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do

r-for-data-science

D-Lab R-intensive teaching materials

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

rspatialdata_s18

scala-spark-4

scalable-machine-learning-on-big-data-using-apache-spark

Machine learning using Pyspark

scalable_machine_learning_on_big_data_using_apache_spark

Scalable Machine Learning on Big Data using Apache Spark

scaling-machine-learning-course

Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machine Learning with Spark

scientific-python-lectures

Lectures on scientific computing with python, as IPython notebooks.

shinyapps

Small web apps that illustrate statistical concepts

socviz

Support files for a data visualization course and book

spark

Mirror of Apache Spark

spark-netty-nio

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

spark-notes

Deep Dive into Apache Spark 深入研读Spark源码

sparkinternals

Notes talking about the design and implementation of Apache Spark

stanford-cme-102-ordinary-differential-equations

VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers

stanford-cme-106-probability-and-statistics

VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers

stanford-cs-106a

Women Learning Code references

stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

tensorflow-1-public