Inspiration
This competition has inspired me to play around with coding in Python, which is very interesting and challenging.
What it does
The coding is used to predict the probability of customers' default payments in Taiwan.
How we built it
The platform I used was Jupyter Notebook.
Challenges we ran into
It is new to me to learn about the keras and confusion matrix.
Accomplishments that we're proud of
The final model can predict the default correctly and accurately.
What we learned
Some new coding and new libraries.
What's next for Credit Default Risk Prediction
To provide an accurate suggestion to the client, whether it has defaulted.
Built With
- csv
- python
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