Code used in Kaggle's Santander Product Recommendation competition.
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Updated
Dec 28, 2016 - Python
Code used in Kaggle's Santander Product Recommendation competition.
A python 2 container runtime for processing data science tasks and workloads (used by https://github.com/jay-johnson/sci-pype for distributed analysis)
Kaggle Property Market competition solution
Prediction of a readmission for a patient based on the Electronic Health Records (EHR) data. This project was done as part of a timed challenge with a time limit of 3 hours to work on this dataset. So, it is just a preliminary model using XGBoost algorithm with some basic data exploration for data processing.
The main of this solution is to identify the churn customers and to find important features for identifying churn customer.
Synthetic Financial Datasets For Fraud Detection
Consumer Spending Analytics
MachineHack Hackathon
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