Interesting news/blogs that I read during a week.
1. 16 Must-Know Bash Commands for Data Scientists
It is a good article for people who begin to work in Linux/MacOS environment.
16 Must-Know Bash Commands for Data Scientists
Exploring some of the most commonly used bash commands
The author is fairly an excellent engineer and a good blogger: his articles are simple, clear and useful to everyone who wants to get familiar faster with Python.
2. 4 Tricks for Making Python Pandas More Efficient
It’s very interesting for Pandas fan (all Python programmers, I guess)
3. 22 Code Snippets That Every Python Programmer Must Learn
22 Code Snippets That Every Python Programmer Must Learn
Use these code snippets to solve everyday problems
This is cool stuff for Python beginners.
4. Should we “reject” Reject Inference? An Empirical Study
At the moment, I’m building a credit scoring model with banking customers dataset. It was very interesting to me when I heard about the term reject inference, the technique that we treat with the rejected customers to enhance the model accuracy.
Should we “reject” Reject Inference? An Empirical Study
Reject Inference is a technique to enable a declined population, for example rejected loan applications, to be included…
It’s better if you read academic papers about reject inference because you can learn more technically. The research papers that I learned are from SaS’s resource (a famous firm implemented the technique in their software product) and from a researcher’s good paper. I’m happy to share their link as below: