NBD Lite #9-16 Podcast Summary

Hey guys! The next batch of NBD Lite series has already reached the number 16, and here is the podcast summary.

The NBD Lite series is a short article series you can read in 3 minutes to improve your knowledge.

As I mentioned in the previous post, I want to experiment with new things, so I've created a podcast summarizing my Lite summary for the week.

So, it’s an AI-generated podcast based on the Lite series for #9 to #16 and hosted by two people who talk with each other.

If you like listening instead of reading, this podcast might help you learn!

Don’t miss it!

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Source:

1. Speeding Up Pandas with .apply vs. Vectorization - NBD Lite #9

2. 8 Advance Feature Engineering For Machine Learning - NBD Lite #10

3. 7 LLM Generation Parameters To Know - NBD Lite #11

4. Understanding Data Leakage in Machine Learning - NBD Lite #12

5. Data Science Alternative Career Path -NBD Lite #13

6. Chi-Square Test for Feature Selection in Classification -NBD Lite #14

7. Standardization vs Normalization: The Feature Scaler Role - NBD Lite #15

8. Data Versioning Workflow With DVC - NBD Lite #16