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2015

Public material for CS109

awesome-machine-learning

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

berkeleyx-spark

My code and supplemental materials from CS105x and CS120x courses on Apache Spark

coursera-machine-learning

Homework Assignments for Andrew Ng's Coursera ML class

courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

dat-23-nyc

GA Data Science NYC #23

dat-atx-1_project

General Assembly's Data Science Course capstone project: Austin Restaurants Health Inspection

datasci-from-scratch-notes

Notes on "Data Science from Scratch" by Joel Grus

drgpy

drgpy is a Python library for assigning a combination of diagnosis and procedure codes to Diagnosis Related Groups (MS-DRG) that is used in Medicare inpatient reimbursement today.

fullstack-nanodegree-vm

mini-dat-projects

Mini Projects (Assignments) from General Assembly's DAT-ATX-1 data science bootcamp

open-data-flights

explorations in open data

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 ;)

problem-solving-with-algorithms-and-data-structures-using-python

Examples and work from Problem Solving with Algorithms and Data Structures Using Python

pythondatasciencehandbook

Supplemental materials for my OReilly project, the Python Data Science Handbook

scikit-learn-videos

IPython notebooks from the scikit-learn video series

scikit_2015_11

Code Repo for SciKit sessions scheduled in Winter of 2015

serverless

serverless sdk

sklearn_scipy2013

Scikit-learn tutorials for the Scipy 2013 conference

stats216-2015-homework

STATS216 Homework Assignments

tensorflow-tutorials

Simple tutorials using Google's TensorFlow Framework