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Cracking the Coding Interview, 5th Edition

customer_attrition_model icon customer_attrition_model

Data Mining Course Final Project. The dataset is customer transactions from an Ecard company. The goal is to build a model to predict whether their customers will leave within the next 3 months.

dat5 icon dat5

General Assembly's Data Science course in Washington, DC

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines. https://bit.ly/data-notes

data-science-primer icon data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

dedupe icon dedupe

:id: A python library for accurate and scaleable data deduplication and entity-resolution.

dirichlet icon dirichlet

Dirichlet model of consumer buying behavior for marketing research

gitignore icon gitignore

A collection of useful .gitignore templates

html icon html

R code that writes the Nottinghamshire Healthcare Service user survey report in HTML with graphics etc.

interactive-coding-challenges icon interactive-coding-challenges

Continually updated, interactive, test-driven Python coding challenges (algorithms and data structures) typically found in coding interviews or coding competitions. https://bit.ly/git-code

interview icon interview

Java各种必备面试题目程序代码例子与应战技巧

interviewprep icon interviewprep

Just practicing with some data structures and algorithms in (mostly) python

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