Update ML Final Project.md

pages/assignments/Final Project/ML Final Project.md

@@ -62,24 +62,39 @@ You are also required to write a detailed report on your implementation and the
 
 **Resources**
 
-**Recommender systems methods:**
+- **Recommender systems methods:**
 
-[https://medium.com/@eskandar.sahel/recommender-systems-best-practices-a5962ae1b 560](https://medium.com/@eskandar.sahel/recommender-systems-best-practices-a5962ae1b560)
+    [https://medium.com/@eskandar.sahel/recommender-systems-best-practices-a5962ae1b 560](https://medium.com/@eskandar.sahel/recommender-systems-best-practices-a5962ae1b560)
 
-<https://towardsdatascience.com/introduction-to-recommender-systems-6c66cf15ada>
+    <https://towardsdatascience.com/introduction-to-recommender-systems-6c66cf15ada>
 
-[https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-1- algorithms-evaluation-and-cold-start-6f696683d0ed ](https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-1-algorithms-evaluation-and-cold-start-6f696683d0ed)[https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-2- deep-recommendation-sequence-prediction-automl-f134bc79d66b ](https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-2-deep-recommendation-sequence-prediction-automl-f134bc79d66b)[https://medium.com/berlin-tech-blog/deep-learning-for-recommender-systems-48c786a2 0e1a](https://medium.com/berlin-tech-blog/deep-learning-for-recommender-systems-48c786a20e1a)
+    [https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-1- algorithms-evaluation-and-cold-start-6f696683d0ed ](https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-1-algorithms-evaluation-and-cold-start-6f696683d0ed)[https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-2- deep-recommendation-sequence-prediction-automl-f134bc79d66b ](https://medium.com/recombee-blog/machine-learning-for-recommender-systems-part-2-deep-recommendation-sequence-prediction-automl-f134bc79d66b)[https://medium.com/berlin-tech-blog/deep-learning-for-recommender-systems-48c786a2 0e1a](https://medium.com/berlin-tech-blog/deep-learning-for-recommender-systems-48c786a20e1a)
 
-[https://heartbeat.comet.ml/recommender-systems-with-python-part-i-content-based-filteri ng-5df4940bd831 ](https://heartbeat.comet.ml/recommender-systems-with-python-part-i-content-based-filtering-5df4940bd831)[https://heartbeat.comet.ml/recommender-systems-with-python-part-ii-collaborative-filterin g-k-nearest-neighbors-algorithm-c8dcd5fd89b2 ](https://heartbeat.comet.ml/recommender-systems-with-python-part-ii-collaborative-filtering-k-nearest-neighbors-algorithm-c8dcd5fd89b2)[https://heartbeat.comet.ml/recommender-systems-with-python-part-iii-collaborative-filteri ng-singular-value-decomposition-5b5dcb3f242b](https://heartbeat.comet.ml/recommender-systems-with-python-part-iii-collaborative-filtering-singular-value-decomposition-5b5dcb3f242b)
+    [https://heartbeat.comet.ml/recommender-systems-with-python-part-i-content-based-filteri ng-5df4940bd831 ](https://heartbeat.comet.ml/recommender-systems-with-python-part-i-content-based-filtering-5df4940bd831)[https://heartbeat.comet.ml/recommender-systems-with-python-part-ii-collaborative-filterin g-k-nearest-neighbors-algorithm-c8dcd5fd89b2 ](https://heartbeat.comet.ml/recommender-systems-with-python-part-ii-collaborative-filtering-k-nearest-neighbors-algorithm-c8dcd5fd89b2)[https://heartbeat.comet.ml/recommender-systems-with-python-part-iii-collaborative-filteri ng-singular-value-decomposition-5b5dcb3f242b](https://heartbeat.comet.ml/recommender-systems-with-python-part-iii-collaborative-filtering-singular-value-decomposition-5b5dcb3f242b)
 
-- **Course on Recommender systems <https://developers.google.com/machine-learning/recommendation>**
+- **Course on Recommender systems**
+
+   <https://developers.google.com/machine-learning/recommendation>
 - **Evaluation metrics**
 
-[https://towardsdatascience.com/evaluation-metrics-for-recommender-systems-df56c661 1093](https://towardsdatascience.com/evaluation-metrics-for-recommender-systems-df56c6611093)
+  https://towardsdatascience.com/evaluation-metrics-for-recommender-systems-df56c6611093
 
 - **User Interface Design**
-- **Gradio: [https://ismailouahbi.medium.com/gradio-build-deploy-and-share-your-machine-le arning-models-7b38baba659c ](https://ismailouahbi.medium.com/gradio-build-deploy-and-share-your-machine-learning-models-7b38baba659c)[https://www.youtube.com/watch?v=RiCQzBluTxU ](https://www.youtube.com/watch?v=RiCQzBluTxU)<https://www.machinelearningnuggets.com/gradio-tutorial/>**
-- **Streamlit: [https://www.justintodata.com/streamlit-python-tutorial/ ](https://www.justintodata.com/streamlit-python-tutorial/)[https://www.youtube.com/watch?v=43RJ3JByygE ](https://www.youtube.com/watch?v=43RJ3JByygE)<https://www.youtube.com/watch?v=_9WiB2PDO7k>**
+  - **Gradio:**
+
+    [https://ismailouahbi.medium.com/gradio-build-deploy-and-share-your-machine-le arning-models-7b38baba659c ](https://ismailouahbi.medium.com/gradio-build-deploy-and-share-your-machine-learning-models-7b38baba659c)
+
+    [https://www.youtube.com/watch?v=RiCQzBluTxU ](https://www.youtube.com/watch?v=RiCQzBluTxU)
+
+    <https://www.machinelearningnuggets.com/gradio-tutorial/>
+  - **Streamlit:**
+    [https://www.justintodata.com/streamlit-python-tutorial/ ](https://www.justintodata.com/streamlit-python-tutorial/)
+
+    [https://www.youtube.com/watch?v=43RJ3JByygE ](https://www.youtube.com/watch?v=43RJ3JByygE)
+
+    <https://www.youtube.com/watch?v=_9WiB2PDO7k>
 - **Deployment on HuggingFace**
 
-[https://towardsdatascience.com/host-ml-apps-with-huggingface-spaces-7d5eef00e781 ](https://towardsdatascience.com/host-ml-apps-with-huggingface-spaces-7d5eef00e781)<https://learnopencv.com/deploy-deep-learning-model-huggingface-spaces/>
+    [https://towardsdatascience.com/host-ml-apps-with-huggingface-spaces-7d5eef00e781 ](https://towardsdatascience.com/host-ml-apps-with-huggingface-spaces-7d5eef00e781)
+
+    <https://learnopencv.com/deploy-deep-learning-model-huggingface-spaces/>