DS200.L21 / Big data

About

• This is a college course project about applying big data tools to solve real-life problems.
• The project is to utilize Apache-spark to predict classify the credit score.

Table of contents

• DS200.L21 / Big data

• About
• Table of contents
• Data source
• Experiment pipelines
• Feature extraction pipelines
• Code
• Presentation slides and Report
• Reference

Data source

• klp's creditscring challenge for students

Experiment pipelines

Feature extraction pipelines

Code

• Feature extraction and models training (and so on) in this repo are implemented in Google Colab.
• All codes are organized in name.ipynb files.

Presentation slides and Report

• report_slides.pdf
• report.pdf

References

• Machine Learning-Based Empirical Investigation for Credit Scoring in Vietnam’s Banking
• Spark ML Programming Guide