# Shadow Articles

As Medium charges everyone 5$/month, our students can't learn things properly. In order to solve this issue, we came up with Shadow Article work.

Whatever the medium article we find, we ask our featurepreneurs to create a shadow article (same context written with different phrases and wordings) and keep it with us.

Pending Articles:

## FA1101

{% embed url="<https://www.omgubuntu.co.uk/2016/08/5-ways-free-up-space-on-ubuntu>" %}

## FA1102

{% embed url="<https://www.gun.io/blog/serverless-microservices-with-zappa-and-flask>" %}

## FA1103

{% embed url="<https://towardsdatascience.com/feature-engineering-for-machine-learning-3a5e293a5114>" %}

## FA1104

{% embed url="<https://machinelearningmastery.com/discover-feature-engineering-how-to-engineer-features-and-how-to-get-good-at-it/>" %}

## FA1105

{% embed url="<https://medium.com/@info.gildacademy/a-simpler-way-to-implement-trie-data-structure-in-python-efa6a958a4f2>" %}

## FA1106

{% embed url="<https://cs.stanford.edu/people/karpathy/deepimagesent/>" %}

## FA1107

{% embed url="<https://karpathy.github.io/2015/05/21/rnn-effectiveness/>" %}

## FA1108

{% embed url="<https://followthedata.wordpress.com/2020/01/27/modelling-tabular-data-with-googles-tabnet/>" %}

Admin Sheet:


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://tactlabs.gitbook.io/featurepreneur/shadow-articles.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
