Update README.md

README.md

@@ -86,7 +86,7 @@ By ensuring that the content aligns with projects, the process is made more enga
 |      21       | ⚡️ World Power Usage ⚡️ Time Series Forecasting with ARIMA ⚡️ |       [Time Series](Time-Series/README.md)        | Time Series Forecasting with ARIMA                                                                        |       [lesson](TimeSeries/2-ARIMA/README.md)        | Francesca |
 |      22       |           Introduction to Reinforcement Learning           | [Reinforcement Learning](Reinforcement/README.md) | tbd                                                                                                       |                     [lesson]()                      |  Dmitry   |
 |      23       |                Help Peter avoid the Wolf! 🐺                | [Reinforcement Learning](Reinforcement/README.md) | tbd                                                                                                       |                     [lesson]()                      |  Dmitry   |
-|      24       |          Real-World ML Scenarios and Applications          |                  ML in the Wild                   | Interesting and Revealing real-world applications of classical ML                                         |    [lesson](Real-World/1-Applications/README.md)    |    All    |
+|      24       |          Real-World ML Scenarios and Applications          |                  ML in the Wild                   | Interesting and Revealing real-world applications of classical ML                                         |    [lesson](Real-World/1-Applications/README.md)    |    Ornella    |
 ## Offline access
 
 You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the root folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`.