docs(ai-audits): fix format errors, rephrase, and typos

subjects/ai/classification/audit/README.md

@@ -1,6 +1,6 @@
 #### Exercise 0: Environment and libraries
 
-##### The exercise is validated is all questions of the exercise are validated.
+##### The exercise is validated if all questions of the exercise are validated.
 
 ##### Activate the virtual environment. If you used `conda` run `conda activate your_env`
 
@@ -50,7 +50,7 @@ Score:
 
 #### Exercise 3: Decision boundary
 
-##### The exercise is validated is all questions of the exercise are validated
+##### The exercise is validated if all questions of the exercise are validated
 
 ###### Does the outputted plot for question 1 look like this?
 
@@ -130,7 +130,7 @@ y_test:
 
 #### Exercise 5: Breast Cancer prediction
 
-###### The exercise is validated is all questions of the exercise are validated
+###### The exercise is validated if all questions of the exercise are validated
 
 ###### Is the proportion of class `Benign` 0.6552217453505007 for question 1? It means that if you always predict `Benign` your accuracy would be 66%.
 

subjects/ai/credit-scoring/audit/README.md

@@ -84,4 +84,4 @@ This [article](https://medium.com/thecyphy/home-credit-default-risk-part-2-84b58
 
 ###### Are the 3 clients selected as expected? 2 clients from the train set (1 on which the model is correct and 1 on which the model's wrong) and 1 client from the test set.
 
-###### SHAP values on predictions are computed for the 3 clients. The force plot shows what variables contributes the most to the score. **Check that the score outputted by the force plot corresponds to the one outputted by the model.**
+###### SHAP values on predictions are computed for the 3 clients. The force plot shows what variables contributes the most to the score. Does the score outputted by the force plot correspond to the one outputted by the model?

subjects/ai/data-wrangling/audit/README.md

@@ -81,7 +81,7 @@
 
 #### Exercise 4: Groupby Apply
 
-##### The exercise is validated is all questions of the exercise are validated and if the for loop hasn't been used. The goal is to use `groupby` and `apply`.
+##### The exercise is validated if all questions of the exercise are validated and if the for loop hasn't been used. The goal is to use `groupby` and `apply`.
 
 ###### Is the output for question 1 the following?
 

subjects/ai/keras-2/audit/README.md

@@ -1,6 +1,6 @@
 #### Exercise 0: Environment and libraries
 
-##### The exercise is validated is all questions of the exercise are validated.
+##### The exercise is validated if all questions of the exercise are validated.
 
 ##### Activate the virtual environment. If you used `conda` run `conda activate your_env`.
 

subjects/ai/keras/audit/README.md

@@ -1,6 +1,6 @@
 #### Exercise 0: Environment and libraries
 
-##### The exercise is validated is all questions of the exercise are validated
+##### The exercise is validated if all questions of the exercise are validated
 
 ##### Activate the virtual environment. If you used `conda` run `conda activate your_env`
 

subjects/ai/linear-regression/audit/README.md

@@ -2,7 +2,7 @@
 
 #### Exercise 0: Environment and libraries
 
-##### The exercise is validated is all questions of the exercise are validated
+##### The exercise is validated if all questions of the exercise are validated
 
 ##### Activate the virtual environment. If you used `conda` run `conda activate your_env`
 

subjects/ai/model-selection/audit/README.md

@@ -64,7 +64,7 @@ The model is consistent across folds: it is stable. That's a first sign that the
 
 #### Exercise 3: GridsearchCV
 
-##### The exercise is validated is all questions of the exercise are validated
+##### The exercise is validated if all questions of the exercise are validated
 
 ###### For question 1, is the code that runs the grid search similar to the following?
 
@@ -84,7 +84,7 @@ gridsearch.fit(X_train, y_train)
 
 The answers that uses another list of parameters are accepted too !
 
-###### For question 2, whe these attributes used?
+###### For question 2, were these attributes used?
 
 ```python
 print(gridsearch.best_score_)

subjects/ai/neural-networks/audit/README.md

@@ -8,7 +8,7 @@
 
 ###### Does it print `Python 3.x`? x >= 8
 
-##### Do `import jupyter` and `import numpy` run without any error?
+###### Do `import jupyter` and `import numpy` run without any error?
 
 ---
 

subjects/ai/nlp-spacy/audit/README.md

@@ -1,6 +1,6 @@
 #### Exercise 0: Environment and libraries
 
-##### The exercise is all questions of the exercise are validated.
+##### The exercise is is validated if all questions of the exercise are validated.
 
 ##### Activate the virtual environment. If you used `conda` run `conda activate your_env`.
 

subjects/ai/pipeline/audit/README.md

@@ -1,6 +1,6 @@
 #### Exercise 0: Environment and libraries
 
-##### The exercise is validated is all questions of the exercise are validated.
+##### The exercise is validated if all questions of the exercise are validated.
 
 ##### Activate the virtual environment. If you used `conda` run `conda activate your_env`.
 

subjects/ai/visualizations/audit/README.md

@@ -8,7 +8,7 @@
 
 ###### Does it print `Python 3.x`? x >= 8
 
-##### Do `import jupyter`, `import numpy`, `import pandas`, `matplotlib` and `plotly` run without any error ?
+###### Do `import jupyter`, `import numpy`, `import pandas`, `matplotlib` and `plotly` run without any errors?
 
 ---
 
@@ -16,7 +16,7 @@
 
 #### Exercise 1: Pandas plot 1
 
-##### The exercise is validated is all questions of the exercise are validated
+##### The exercise is validated if all questions of the exercise are validated
 
 ###### For question 1, does the plot reproduce the plot in the image and respect those criteria?