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2015lab7

Decison Trees, Random Forrests, Ensemble Methods

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

building-spark-applications-live-lessons

Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.

compstats

Code for a workshop on statistical interference using computational methods in Python.

courses

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

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/

data-science-toolbox

Start doing data science in minutes

data-scientists-guide-apache-spark

Best practices of using Spark for practicing data scientists in the context of a data scientist’s standard workflow.

dataweek-workshop

Machine learning workshop using Python, pandas, and scikit-learn. The first half of the day covered supervised classification using Logistic Regression and how to use cross validation to evaluate your models . The second half of the day covered unsupervised clustering with Kmeans as well as an overview of the data science process.

dezyre

fastbook

The fastai book, published as Jupyter Notebooks

git-flight-rules

Flight rules for git - a work in progress!

javascript

GitBook teaching programming basics with Javascript

python-webimagescraper

A Python powered app that scrapes images from requested URLs and dumps them in scraper's directory.

python_koans

Python Koans - Learn Python through TDD

search_with_machine_learning_course

Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/?utm_source=daniel.

sounder

A grouping of Apache Pig examples.

springboard

statlearning-notebooks

Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).

storm

Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more

thinkstats2

Text and supporting code for Think Stats, 2nd Edition