AnilSener / Axa-Insurance-Telematics-KaggleView external linksLinks
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 vers…
☆17May 7, 2016Updated 9 years ago
Alternatives and similar repositories for Axa-Insurance-Telematics-Kaggle
Users that are interested in Axa-Insurance-Telematics-Kaggle are comparing it to the libraries listed below
Sorting:
- Kaggle's AXA Driver Telematics Analysis☆11Mar 16, 2015Updated 10 years ago
- ☆13Jun 30, 2019Updated 6 years ago
- ☆26May 10, 2017Updated 8 years ago
- ☆11Apr 22, 2018Updated 7 years ago
- TF-IDF with Spark for the Kaggle popcorn competition☆10Jul 1, 2015Updated 10 years ago
- Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition☆81Nov 4, 2016Updated 9 years ago
- ☆20Aug 20, 2016Updated 9 years ago
- Machine learning framework for electronic structure prediction of molecules☆19Sep 5, 2017Updated 8 years ago
- Specific correspondence analysis in R☆14Aug 25, 2025Updated 5 months ago
- Stochastic Dummy Boosting