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axa-insurance-telematics-kaggle

I developed this case study only in 7 days with Pyspark (Spark 1.6.0) SQL & MLlib. I used Databricks cluster and AWS. %90 AUC is achieved (without involving Trip Matching-Repeated Trips feature) with Random Forest. Many ensembles with RF, GBT and Logistic Regression and outlier elimination could be used to improve this result. There are two versions of my code (test and full execution). Since AWS costs have exceeded my budget I sopped to train my model(s) all dataset for full dataset execution. There is also a ppt that presents my outputs in test execution. Full Data Execution code is more production ready and slightly different version. I had to use Databricks Table Caching to TRAIN and TEST data tables to obtain acceptable performance in production ready version.

data_analysis_with_python

enlighten-apply

Example code and materials that illustrate applications of SAS machine learning techniques.

facerec

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

imagehash

A Python Perceptual Image Hashing Module

opencv

Open Source Computer Vision Library

openscoring

REST web service for scoring PMML models

promote-r-client

R package for deploying models built using R to Alteryx Promote.

sas-viya-machine-learning

Code examples for machine learning techniques using the SAS Viya platform.

saspy

An interface module to the SAS System. It works with Linux SAS, and is currently intended as a support module for the sas_kernel project which provides a Jupyter Notebook kernel which surfaces the SAS Language and SAS ODS Output to Jupyter Notebooks. Additionally, provides magics which allow SAS code to be submitted for notebooks with other kernels.

tensorflow

Computation using data flow graphs for scalable machine learning

webcammer