Fix ressources

subjects/ai/emotions-detector/README.md

@@ -171,4 +171,3 @@ Balance technical prowess with psychological insight: as you fine-tune your CNN
 - [Hack the CNN](https://medium.com/@ageitgey/machine-learning-is-fun-part-8-how-to-intentionally-trick-neural-networks-b55da32b7196)
 
 - [Convolutional Neural Network](https://arxiv.org/pdf/1812.06387.pdf)
-

subjects/ai/keras-2/README.md

@@ -40,7 +40,7 @@ I suggest to use the most recent one.
 
 ### Resources
 
-- https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/
+- [Neural network](https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/)
 
 ---
 

subjects/ai/keras/README.md

@@ -40,7 +40,7 @@ I suggest to use the most recent one.
 
 ### Resources
 
-- https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/
+- [Neural network](https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/)
 
 ---
 

subjects/ai/linear-regression/README.md

@@ -46,11 +46,11 @@ _Version of Scikit Learn I used to do the exercises: 0.22_. I suggest using the
 
 #### To start with Scikit-learn
 
-- https://scikit-learn.org/stable/getting_started.html
+- [Scikit](https://scikit-learn.org/stable/getting_started.html)
 
-- https://jakevdp.github.io/PythonDataScienceHandbook/05.02-introducing-scikit-learn.html
+- [Introducing Scikit](https://jakevdp.github.io/PythonDataScienceHandbook/05.02-introducing-scikit-learn.html)
 
-- https://scikit-learn.org/stable/modules/linear_model.html
+- [Linear Model](https://scikit-learn.org/stable/modules/linear_model.html)
 
 #### Machine learning methodology and algorithms
 

subjects/ai/neural-networks/README.md

@@ -47,11 +47,11 @@ I suggest to use the most recent one.
 
 ### Resources
 
-- https://victorzhou.com/blog/intro-to-neural-networks/
+- [Neural networks](https://victorzhou.com/blog/intro-to-neural-networks/)
 
-- https://srnghn.medium.com/deep-learning-overview-of-neurons-and-activation-functions-1d98286cf1e4
+- [Deep Learning](https://srnghn.medium.com/deep-learning-overview-of-neurons-and-activation-functions-1d98286cf1e4)
 
-- https://towardsdatascience.com/machine-learning-for-beginners-an-introduction-to-neural-networks-d49f22d238f9
+- [Machine Learning](https://towardsdatascience.com/machine-learning-for-beginners-an-introduction-to-neural-networks-d49f22d238f9)
 
 ---
 

subjects/ai/nlp-spacy/README.md

@@ -36,10 +36,10 @@ I suggest using the most recent libraries.
 
 ### Resources
 
-- https://spacy.io/usage/spacy-101
+- [Spacy](https://spacy.io/usage/spacy-101)
-- https://spacy.io/api/doc
+- [NLP](https://spacy.io/api/doc
-- https://www.analyticsvidhya.com/blog/2021/06/nlp-application-named-entity-recognition-ner-in-python-with-spacy/
+- https://www.analyticsvidhya.com/blog/2021/06/nlp-application-named-entity-recognition-ner-in-python-with-spacy/)
-- https://medium.com/mlearning-ai/nlp-04-part-of-speech-tagging-in-spacy-dc3e239c2726
+- [NLP 2](https://medium.com/mlearning-ai/nlp-04-part-of-speech-tagging-in-spacy-dc3e239c2726)
 
 ---
 

subjects/ai/pipeline/README.md

@@ -137,9 +137,9 @@ If the data is split in train and test set, it is extremely important to apply t
 
 Resources:
 
-- https://medium.com/technofunnel/what-when-why-feature-scaling-for-machine-learning-standard-minmax-scaler-49e64c510422
+- [Machine Learning](https://medium.com/technofunnel/what-when-why-feature-scaling-for-machine-learning-standard-minmax-scaler-49e64c510422)
 
-- https://scikit-learn.org/stable/modules/preprocessing.html
+- [Preprocessing](https://scikit-learn.org/stable/modules/preprocessing.html)
 
 ---