sandy4321 Goto Github PK

followers: 119.0 following: 1.2K repos: 8.3K gists: 139.0

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sandy4321's Projects

a_star_8_puzzle

Cloned originally from https://[email protected]/laurentluce/python-algorithms.git and then modified.

awesome_time_series_in_python

This curated list contains python packages for time series analysis

awesomeperfcpp

A curated list of awesome C/C++ performance optimization resources: talks, articles, books, libraries, tools, sites, blogs. Inspired by awesome.

aws-deep-learning-amis

This is the documentation for AWS Deep Learning AMIs: your one-stop shop for deep learning in the cloud

aws-modernization-with-dynatrace

aws_jupyter_anaconda

A bunch of scripts to install Miniconda and Jupyter on your reserved AWS spot instances

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.