Unleashing CreditPy, with Ayhan Diş
How to Lend Money to Strangers
Brendan le Grange
5 • 2.6K Ratings
🗓️ 25 March 2024
⏱️ 24 minutes
🧾️ Download transcript
Summary
In the world of data science, there are people like me, who have signed up for an online Python course but just not got around to starting it yet, and then there are people like Ayhan Diᶊ, who, given a spare month, create a Python package to succeed the highly successful CreditR by simplifying tasks such as variable analysis, model development, and calibration and validation with unparalleled efficiency 😂
Ayhan Diş is a Quant Professional renowned for shaping sophisticated data-driven solutions across diverse sectors, and we discuss what AI and ML can bring to the world of credit risk modelling, a future with Generative AI tools further improving our toolbox, and what regulators have to consider in their rulings.
You can explore CreditPy on PyPI (https://pypi.org/project/creditpy/) and GitHub (https://github.com/ayhandis/creditpy)
You can reach out to Ayhan directly on LinkedIn at https://www.linkedin.com/in/ayhandis/
I'm on LinkedIn and always open to new genuine connections - https://www.linkedin.com/in/brendanlegrange - please do reach out, and follow the show's page, too
Meanwhile, my action-adventure novels are on Amazon, some versions even for free, and my work with ConfirmU and our gamified psychometric scores is discussed at https://confirmu.com/ and on episode 24 of this show https://www.howtolendmoneytostrangers.show/episodes/episode-24
If you have any feedback or questions, or if you would like to participate in the show, please feel free to reach out to me via the contact page on this site.
Oh, and In this episode, I got to have a bit of fun incorporating Daniele's drumming into the introduction - isolating them from the full track using https://splitter.ai/
Keep well, Brendan
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Transcript
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| 0:00.0 | Last month I had some free time and I actually decided to convert credit card into Python, including some functionalities to develop credit risk scorecard, a PD model, basic data analysis, and to determine which futures is going to be passed to the predictive model, It also generates an automated model framework that is actually |
| 0:27.4 | searching for the best predictive model across the different future sets that potentially can be used during the model |
| 0:35.0 | development. |
| 0:37.0 | Python is a genus of constricting snakes, native to tropical and subtropical |
| 0:48.0 | regions of Asia and Africa, and if you're in the same corners of the |
| 0:52.0 | Instagram algorithm as I am, found in Florida too, where they're the top target of the barefooted yooink guy. |
| 1:00.0 | When I lived in Hong Kong, I always wanted to see a Burmese Python in the wild. |
| 1:04.3 | Alas, the closest I got was seeing a neighborhood Facebook post, showing one slipping into |
| 1:09.1 | Henry Chamberlain's unattended garden. |
| 1:11.7 | But Python is also a high-level general-purpose programming language. |
| 1:15.8 | First released in 1991, it has really come to prominence in the machine learning |
| 1:21.5 | community. |
| 1:23.0 | And I'm claiming based on gut feel |
| 1:25.0 | and a single response from Google |
| 1:27.0 | is now the official coding language of modern data science. |
| 1:31.0 | Welcome to how to lend money to strangers with Brendan Lagrange. I amish, I am I am. |
| 1:44.0 | I amish, |
| 1:45.0 | I am I am I am I copied your LinkedIn headline |
| 1:51.0 | to the show. |
| 1:52.0 | I am I copied your LinkedIn headline and on one level, |
| 1:56.2 | Quant Professional, it doesn't seem to do enough to display the wonderful array of skills |
| 2:01.4 | that you bring, but on another level, it really does capture very well |
... |
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