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MMLSpark - Microsoft Machine Learning for Apache Spark
MMLSpark provides a number of deep learning and data science tools for Apache Spark, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK) and OpenCV, enabling you to quickly create powerful, highly-scalable predictive and analytical models for large image and text datasets.MMLSpark requires Scala 2.11, Spark 2.1+, and either Python 2.7 or Python 3.5+. See the API documentation for Scala and for PySpark.
machine-learning spark cntk pyspark azure microsoft-machine-learning microsoft mlpython_mozetl - ETL jobs for Firefox Telemetry
This repository is a collection of ETL jobs for Firefox Telemetry.Jobs committed to python_mozet can be scheduled via airflow or ATMO. We provide a testing suite and code review, which makes your job more maintainable. Centralizing our jobs in one repository allows for code reuse and easier collaboration.
firefox-telemetry etl pysparkPySparkGeoAnalysis - :globe_with_meridians: Interactive Workshop on GeoAnalysis using PySpark
This workshop will introduce you to Apache Spark via the exciting domain of Geospatial Analysis.
pyspark geospatial-analysis spark dockerdata-analytics-machine-learning-big-data - Slides, code and more for my class: Data Analytics and Machine Learning on Big Data
If you want to install and run everything on your computer, here are the best tutorials I've found for getting Python and Spark running on your computer. In order to visualize the decision trees in Jupyter, you will need to install Graphviz as well as the Python package.
big-data machine-learning jupyter-notebook graphviz data-exploration pyspark mllibpyspark-for-data-processing - Code for my presentation: Using PySpark to Process Boat Loads of Data
Download the slides from Slideshare. This code uses the Hazardous Air Pollutants dataset from Kaggle.
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