Name: Onur Babat
Type: User
Company: Lehigh University
Bio: Operations researcher and data scientist with a strong math background and experience in optimization, machine
learning, algorithm development and statistics.
Location: Bethlehem, PA
Blog: http://coral.ise.lehigh.edu/onb211/
Onur Babat's Projects
Official content for the Fall 2014 Harvard CS109 Data Science course
Public material for CS109
Official content for Harvard CS109
Algorithm implements both bidirectional and unidirectional versions of Dijkstra's algorithm
This repository contains the code to generate predictions of critical violations at food establishments in Chicago. It also contains the results of an evaluation of the effectiveness of those predictions.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code
Some Useful pandas functions to analyze movie lens dataset
Jupyter Interactive Notebook
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 ;)
Automatically exported from code.google.com/p/rl-texplore-ros-pkg
scikit-learn: machine learning in Python
Python scripts from Shape of Data Case Studies
Industrial-strength Natural Language Processing (NLP) with Python and Cython
A test repo for a ton of things
Code repository for Think Bayes.
Text and code for the second edition of Think Bayes, by Allen Downey.