added deprem-ml

* added Real World section
* added disaster section
* added deprem-ml (earthquake ML in Turkish)

README.md

@@ -92,6 +92,18 @@ Python is by far the most popular language in science, due in no small part to t
 Unlike R, Python was not built from the ground up with data science in mind, but there are plenty of third party libraries to make up for this. A much more exhaustive list of packages can be found later in this document, but these four packages are a good set of choices to start your data science journey with: [Scikit-Learn](https://scikit-learn.org/stable/index.html) is a general-purpose data science package which implements the most popular algorithms - it also includes rich documentation, tutorials, and examples of the models it implements. Even if you prefer to write your own implementations, Scikit-Learn is a valuable reference to the nuts-and-bolts behind many of the common algorithms you'll find. With [Pandas](https://pandas.pydata.org/), one can collect and analyze their data into a convenient table format. [Numpy](https://numpy.org/) provides very fast tooling for mathematical operations, with a focus on vectors and matrices. [Seaborn](https://seaborn.pydata.org/), itself based on the [Matplotlib](https://matplotlib.org/) package, is a quick way to generate beautiful visualizations of your data, with many good defaults available out of the box, as well as a gallery showing how to produce many common visualizations of your data.
 
  When embarking on your journey to becoming a data scientist, the choice of language isn't particularly important, and both Python and R have their pros and cons. Pick a language you like, and check out one of the [Free courses](#free-courses) we've listed below!
+
+## Real World
+**[`^        back to top        ^`](#awesome-data-science)**
+
+Data science is a powerful tool that is utilized in various fields to solve real-world problems by extracting insights and patterns from complex data.
+
+### Disaster
+**[`^        back to top        ^`](#awesome-data-science)**
+
+- [deprem-ml](https://huggingface.co/deprem-ml) [AYA: Açık Yazılım Ağı](https://linktr.ee/acikyazilimagi) (+25k developers) is trying to help disaster response using artificial intelligence. Everything is open-sourced [afet.org](https://afet.org). 
+
+
 
 ## Training Resources
 **[`^        back to top        ^`](#awesome-data-science)**
@@ -172,6 +184,7 @@ How do you learn data science? By doing data science, of course! Okay, okay - th
 - [Data Scientist with Python](https://app.datacamp.com/learn/career-tracks/data-scientist-with-python)
 
 
+
 ### Intensive Programs
 **[`^        back to top        ^`](#awesome-data-science)**