khanhnguyendata Goto Github PK

automate

Various scripts to automate stuff

banditsbook

Code for my book on Multi-Armed Bandit Algorithms

bigquery-oreilly-book

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

codewars

Practices from Codewars

coding-the-matrix

Work problems in Klein's Coding the Matrix

complete-guide-to-elasticsearch

Contains all of the queries used within the Complete Guide to Elasticsearch course.

coursera_graph

Work for Coursera's Applied Social Network Analysis in Python

coursera_python

Work for Coursera's Applied Data Science with Python (University of Michigan)

datasciencecoursera

datascientisttoolbox

JHU Data Scientist Toolbox Week 2.5 Creating Github Repository

datasharing

The Leek group guide to data sharing

deep-learning-with-python-notebooks

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

duality

Work on duality seminar for MTI

duke-statistics

Practice and submission for Coursera's Statistics specialization with Duke University

effectivepython

Effective Python: Source Code and Errata for the Book

excel

Work for Coursera's Mastering Data Analysis in Excel

fieldstats

Work for Andy Field's Discovering Statistics with R

fight-churn

Code from the book Fighting Churn With Data

freedman-statistics

Practicing exercises from Freedman's Statistics using Python

g0z39a

GitHub Page for Modern Data Analytics (G0Z39A)

gaddis

Practice for Gaddis' Starting out with Python book

gaussian

How to generate Gaussian samples

git

Git Source Code Mirror - This is a publish-only repository and all pull requests are ignored. Please follow Documentation/SubmittingPatches procedure for any of your improvements.

gitignore

A collection of useful .gitignore templates

grokking_algorithms

Code for the book Grokking Algorithms (http://manning.com/bhargava)

guttag

Practices from Guttag's Introduction to Computation and Programming using Python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

head_first_python

Practice with Head First Python book

ipa_fr

Process IPA generated from espeak program

islr

Practice on Introduction to Statistical Learning by Hastie & Tibshirani