Fabian Schreiber's repositories
interesting_notebooks
A collection of Data Science Jupyter notebook (reference material)
fabsta.github.io_old
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
fabsta.github.io
Personal homepage
ipython_machine_learning
notes, exercises based on the udacity machine learning course
ipython_scala
https://www.coursera.org/course/progfun
ipython_spark
Notes based on big data university course about Apache Spark: http://bigdatauniversity.com/courses/course/view.php?id=622
ml_code
Machine learning code (for competitions and others)
mlcourse.ai
Open Machine Learning course mlcourse.ai, both in English and Russian
oozie_hive_file_trigger
Simple example on how to trigger hive jobs when hdfs is updated
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
spark_notebooks
Collection of spark notebooks (zeppelin)
storm_use_case
Storm use case that ingests data from kafka and stores them in hbase
zeppelin_data
data for zeppelin notebooks