Merge branch 'main' into patch-7

1-Introduction/README.md

@@ -1,6 +1,6 @@
 # Introduction to machine learning
 
-In this section of the curriculum, you will be introduced to the base concepts underlying the field of machine learning, what it is, and learn about its history and the techniques researchers use to work with it.  Let's explore this new world of ML together!
+In this section of the curriculum, you will be introduced to the fundamental concepts of machine learning, including what it is, its history, and the techniques researchers use to apply it in real-world scenarios. Let's explore this exciting world of ML together!
 
 ![globe](images/globe.jpg)
 > Photo by <a href="https://unsplash.com/@bill_oxford?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Bill Oxford</a> on <a href="https://unsplash.com/s/photos/globe?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText">Unsplash</a>
@@ -19,4 +19,4 @@ In this section of the curriculum, you will be introduced to the base concepts u
 
 "Fairness and Machine Learning" was written with ♥️ by [Tomomi Imura](https://twitter.com/girliemac) 
 
-"Techniques of Machine Learning" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper) and [Chris Noring](https://twitter.com/softchris) 
+"Techniques of Machine Learning" was written with ♥️ by [Jen Looper](https://twitter.com/jenlooper) and [Chris Noring](https://twitter.com/softchris)

2-Regression/3-Linear/README.md

@@ -207,13 +207,13 @@ lin_reg.fit(X_train,y_train)
 
 The `LinearRegression` object after `fit`-ting contains all the coefficients of the regression, which can be accessed using `.coef_` property. In our case, there is just one coefficient, which should be around `-0.017`. It means that prices seem to drop a bit with time, but not too much, around 2 cents per day. We can also access the intersection point of the regression with Y-axis using `lin_reg.intercept_` - it will be around `21` in our case, indicating the price at the beginning of the year.
 
-To see how accurate our model is, we can predict prices on a test dataset, and then measure how close our predictions are to the expected values. This can be done using mean square error (MSE) metrics, which is the mean of all squared differences between expected and predicted value.
+To see how accurate our model is, we can predict prices on a test dataset, and then measure how close our predictions are to the expected values. This can be done using root mean square error (RMSE) metrics, which is the root of the mean of all squared differences between expected and predicted value.
 
 ```python
 pred = lin_reg.predict(X_test)
 
-mse = np.sqrt(mean_squared_error(y_test,pred))
-print(f'Mean error: {mse:3.3} ({mse/np.mean(pred)*100:3.3}%)')
+rmse = np.sqrt(mean_squared_error(y_test,pred))
+print(f'RMSE: {rmse:3.3} ({rmse/np.mean(pred)*100:3.3}%)')
 ```
 
 Our error seems to be around 2 points, which is ~17%. Not too good. Another indicator of model quality is the **coefficient of determination**, which can be obtained like this:

4-Classification/2-Classifiers-1/README.md

@@ -223,7 +223,7 @@ Since you are using the multiclass case, you need to choose what _scheme_ to use
     | japanese     | 0.70      | 0.75   | 0.72     | 220     |
     | korean       | 0.86      | 0.76   | 0.81     | 242     |
     | thai         | 0.79      | 0.85   | 0.82     | 254     |
-    | accuracy     | 0.80      | 1199   |          |         |
+    | accuracy     |           |        | 0.80     | 1199    |
     | macro avg    | 0.80      | 0.80   | 0.80     | 1199    |
     | weighted avg | 0.80      | 0.80   | 0.80     | 1199    |
 

README.md

@@ -13,7 +13,7 @@
 #### Supported via GitHub Action (Automated & Always Up-to-Date)
 
 <!-- CO-OP TRANSLATOR LANGUAGES TABLE START -->
-[Arabic](./translations/ar/README.md) | [Bengali](./translations/bn/README.md) | [Bulgarian](./translations/bg/README.md) | [Burmese (Myanmar)](./translations/my/README.md) | [Chinese (Simplified)](./translations/zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](./translations/zh-HK/README.md) | [Chinese (Traditional, Macau)](./translations/zh-MO/README.md) | [Chinese (Traditional, Taiwan)](./translations/zh-TW/README.md) | [Croatian](./translations/hr/README.md) | [Czech](./translations/cs/README.md) | [Danish](./translations/da/README.md) | [Dutch](./translations/nl/README.md) | [Estonian](./translations/et/README.md) | [Finnish](./translations/fi/README.md) | [French](./translations/fr/README.md) | [German](./translations/de/README.md) | [Greek](./translations/el/README.md) | [Hebrew](./translations/he/README.md) | [Hindi](./translations/hi/README.md) | [Hungarian](./translations/hu/README.md) | [Indonesian](./translations/id/README.md) | [Italian](./translations/it/README.md) | [Japanese](./translations/ja/README.md) | [Kannada](./translations/kn/README.md) | [Korean](./translations/ko/README.md) | [Lithuanian](./translations/lt/README.md) | [Malay](./translations/ms/README.md) | [Malayalam](./translations/ml/README.md) | [Marathi](./translations/mr/README.md) | [Nepali](./translations/ne/README.md) | [Nigerian Pidgin](./translations/pcm/README.md) | [Norwegian](./translations/no/README.md) | [Persian (Farsi)](./translations/fa/README.md) | [Polish](./translations/pl/README.md) | [Portuguese (Brazil)](./translations/pt-BR/README.md) | [Portuguese (Portugal)](./translations/pt-PT/README.md) | [Punjabi (Gurmukhi)](./translations/pa/README.md) | [Romanian](./translations/ro/README.md) | [Russian](./translations/ru/README.md) | [Serbian (Cyrillic)](./translations/sr/README.md) | [Slovak](./translations/sk/README.md) | [Slovenian](./translations/sl/README.md) | [Spanish](./translations/es/README.md) | [Swahili](./translations/sw/README.md) | [Swedish](./translations/sv/README.md) | [Tagalog (Filipino)](./translations/tl/README.md) | [Tamil](./translations/ta/README.md) | [Telugu](./translations/te/README.md) | [Thai](./translations/th/README.md) | [Turkish](./translations/tr/README.md) | [Ukrainian](./translations/uk/README.md) | [Urdu](./translations/ur/README.md) | [Vietnamese](./translations/vi/README.md)
+[Arabic](./translations/ar/README.md) | [Bengali](./translations/bn/README.md) | [Bulgarian](./translations/bg/README.md) | [Burmese (Myanmar)](./translations/my/README.md) | [Chinese (Simplified)](./translations/zh-CN/README.md) | [Chinese (Traditional, Hong Kong)](./translations/zh-HK/README.md) | [Chinese (Traditional, Macau)](./translations/zh-MO/README.md) | [Chinese (Traditional, Taiwan)](./translations/zh-TW/README.md) | [Croatian](./translations/hr/README.md) | [Czech](./translations/cs/README.md) | [Danish](./translations/da/README.md) | [Dutch](./translations/nl/README.md) | [Estonian](./translations/et/README.md) | [Finnish](./translations/fi/README.md) | [French](./translations/fr/README.md) | [German](./translations/de/README.md) | [Greek](./translations/el/README.md) | [Hebrew](./translations/he/README.md) | [Hindi](./translations/hi/README.md) | [Hungarian](./translations/hu/README.md) | [Indonesian](./translations/id/README.md) | [Italian](./translations/it/README.md) | [Japanese](./translations/ja/README.md) | [Kannada](./translations/kn/README.md) | [Khmer](./translations/km/README.md) | [Korean](./translations/ko/README.md) | [Lithuanian](./translations/lt/README.md) | [Malay](./translations/ms/README.md) | [Malayalam](./translations/ml/README.md) | [Marathi](./translations/mr/README.md) | [Nepali](./translations/ne/README.md) | [Nigerian Pidgin](./translations/pcm/README.md) | [Norwegian](./translations/no/README.md) | [Persian (Farsi)](./translations/fa/README.md) | [Polish](./translations/pl/README.md) | [Portuguese (Brazil)](./translations/pt-BR/README.md) | [Portuguese (Portugal)](./translations/pt-PT/README.md) | [Punjabi (Gurmukhi)](./translations/pa/README.md) | [Romanian](./translations/ro/README.md) | [Russian](./translations/ru/README.md) | [Serbian (Cyrillic)](./translations/sr/README.md) | [Slovak](./translations/sk/README.md) | [Slovenian](./translations/sl/README.md) | [Spanish](./translations/es/README.md) | [Swahili](./translations/sw/README.md) | [Swedish](./translations/sv/README.md) | [Tagalog (Filipino)](./translations/tl/README.md) | [Tamil](./translations/ta/README.md) | [Telugu](./translations/te/README.md) | [Thai](./translations/th/README.md) | [Turkish](./translations/tr/README.md) | [Ukrainian](./translations/uk/README.md) | [Urdu](./translations/ur/README.md) | [Vietnamese](./translations/vi/README.md)
 
 > **Prefer to Clone Locally?**
 >
@@ -218,13 +218,24 @@ Our team produces other courses! Check out:
 
 ## Getting Help
 
-If you get stuck or have any questions about building AI apps. Join fellow learners and experienced developers in discussions about MCP. It's a supportive community where questions are welcome and knowledge is shared freely.
+If you get stuck or have questions while learning Machine Learning or building AI applications, don't worry — help is available.
 
-[![Microsoft Foundry Discord](https://dcbadge.limes.pink/api/server/nTYy5BXMWG)](https://discord.gg/nTYy5BXMWG)
+You can join discussions with other learners and developers, ask questions, and share your ideas with the community.
+
+- Join the community to ask questions and learn with others
+- Discuss Machine Learning concepts and project ideas
+- Get guidance from experienced developers
+
+A supportive community is a great way to grow your skills and solve problems faster.
 
-If you have product feedback or errors while building visit:
+[Microsoft Foundry Discord Community](https://discord.gg/nTYy5BXMWG)
+
+If you encounter bugs, errors, or have suggestions for improvements, you can also open an **Issue** in this repository to report the problem.
+
+For product feedback or to search existing community posts, visit the Developer Forum:
 
 [![Microsoft Foundry Developer Forum](https://img.shields.io/badge/GitHub-Microsoft_Foundry_Developer_Forum-blue?style=for-the-badge&logo=github&color=000000&logoColor=fff)](https://aka.ms/foundry/forum)
+
 ## Additional Learning Tips
 
 - Review notebooks after each lesson for better understanding.

quiz-app/package-lock.json

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