bhimmetoglu

courses

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

datasciencecom-mhealth

A tutorial for datascience.com for classifying human activity from body motion and vital signs recordings.

feature-selection

food-blogs

A project for data mining and modeling recipes from online food blogs

kaggle_101

Some work on Kaggle data for fun

Pancake

Pancake is a Python package which provides a simple API to stack scikit-learn models.

RoboBohr

Machine learning framework for electronic structure prediction of molecules

talks-and-lectures

time-series-medicine

Code and documentation for seizure prediction from EEG data

transport_new

New transport codes, including variable k-dependent smearing and grid reduction algorithms

bhimmetoglu/kaggle_101

Some work on Kaggle data for fun

bhimmetoglu/talks-and-lectures

bhimmetoglu/time-series-medicine

Code and documentation for seizure prediction from EEG data

bhimmetoglu/Pancake

Pancake is a Python package which provides a simple API to stack scikit-learn models.

bhimmetoglu/RoboBohr

Machine learning framework for electronic structure prediction of molecules

bhimmetoglu/datasciencecom-mhealth

A tutorial for datascience.com for classifying human activity from body motion and vital signs recordings.

bhimmetoglu/feature-selection

bhimmetoglu/food-blogs

A project for data mining and modeling recipes from online food blogs

bhimmetoglu/transport_new

New transport codes, including variable k-dependent smearing and grid reduction algorithms

bhimmetoglu/CSC-Computing-2017

Materials for the CSC computing series (2017)

bhimmetoglu/2015

Public material for CS109

bhimmetoglu/CLTApp

Shiny App for illustrating the central limit theorem by simulations

bhimmetoglu/data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

bhimmetoglu/DeepLearningMovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

bhimmetoglu/im2recipe

Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images"

bhimmetoglu/ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

bhimmetoglu/learning-spark

Example code from Learning Spark book

bhimmetoglu/mlrecipes

Code and notebooks for ML recipes

bhimmetoglu/neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

bhimmetoglu/personalized-medicine

Work on personalized medicine competition

bhimmetoglu/R_benchmark_test

A test program designed to scale a set of R analytics from small to large size.

bhimmetoglu/simplystats.github.io

Simply Statistics on Github

bhimmetoglu/singularity-images

Scripts for building Singularity images

bhimmetoglu/sklearn_pycon2014

Repository containing files for my PyCon 2014 scikit-learn tutorial.

bhimmetoglu/spark-on-hpc

bhimmetoglu/springboard-exercises

Springboard exercises and codes

bhimmetoglu/TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

bhimmetoglu/Tensorflow-singularity-container-with-GPU-support

This repository provides a bootstrap definition file to build Tensorflow singularity container with Nvidia GPU support

bhimmetoglu/Udacity-DL

Udacity Deep Learning Class

bhimmetoglu/webinars

Code and slides for RStudio webinars