fix(curriculum): standardize fill-in-the-blank format and typos (#39011)

This PR changes the format of earlier fill-in-the-blank questions/answers to the one used in later questions. It also fixes a few typos.

curriculum/challenges/english/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.english.md

@@ -31,18 +31,34 @@ question:
     ```py
     import csv
 
-    with open(___, 'r') as fp:
-        reader = csv.reader(fp, delimiter=___)
+    with open(__A__, 'r') as fp:
+        reader = csv.reader(fp, delimiter=__B__)
         next(reader)
         for index, values in enumerate(reader):
             name, certs_num, months_num = values
-            print(f"{name} earned {___} certificates in {months_num} months")
+            print(f"{name} earned {__C__} certificates in {months_num} months")
     ```
   
   answers:
-    - <code>'certificates.csv', '-', values</code>
-    - <code>'certificates.csv', '$', certs_num</code>
-    - <code>'certificates', '$', certs_num</code>
+    - |
+      A: `'certificates.csv'`
+      
+      B: `'-'` 
+      
+      C: `values`
+    - |
+      A: `'certificates.csv'`
+      
+      B: `'$'`
+      
+      C: `certs_num`
+    - |
+    
+      A: `'certificates'`
+      
+      B: `'$'`
+      
+      C: `certs_num`
   solution: 2
 ```
 

curriculum/challenges/english/09-information-security/python-for-penetration-testing/developing-a-banner-grabber.english.md

@@ -21,17 +21,23 @@ question:
     ```py
     def banner(ip, port):
         s = socket.socket()
-        s.____((ip, ____))
+        s.__A__((ip, __B__))
         print(s.recv(1024))
     ```
 
   answers:
     - |
-      `connect`, `port`
+      A: `connect`
+      
+      B: `port`
     - |
-      `getsockname`, `'1-1024'`
+      A: `getsockname`
+      
+      B: `'1-1024'`
     - |
-      `connect`, `int(port)`
+      A: `connect`
+      
+      B: `int(port)`
   solution: 3
 ```
 

curriculum/challenges/english/11-machine-learning-with-python/tensorflow/creating-a-convolutional-neural-network.english.md

@@ -16,7 +16,7 @@ videoId: kfv0K8MtkIc
 ```yml
 question:
   text: |
-    Fill in the blanks below to complete the architechture for a convolutional neural network:
+    Fill in the blanks below to complete the architecture for a convolutional neural network:
 
     ```py
     model = models.__A__()

curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-create-a-play-generator.english.md

@@ -16,7 +16,6 @@ videoId: j5xsxjq_Xk8
 ```yml
 question:
   text: |
-
     Fill in the blanks below to create the training examples for the RNN:
 
     ```py

curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns.english.md

@@ -16,7 +16,7 @@ videoId: ZyCaF5S-lKg
 ```yml
 question:
   text: |
-    Natural Language Processing is a branch of artifitial intelligence that...:
+    Natural Language Processing is a branch of artificial intelligence that...:
   answers:
     - deals with how computers understand and process natural/human languages.
     - translates image data into natural/human languages.

curriculum/challenges/english/11-machine-learning-with-python/tensorflow/neural-networks-optimizers.english.md

@@ -18,7 +18,7 @@ question:
   text: What is an optimizer function?
   answers:
     - A function that increases the accuracy of a model's predictions.
-    - A function that implements the gradient descent and backpropogation algorithms for you.
+    - A function that implements the gradient descent and backpropagation algorithms for you.
     - A function that reduces the time a model needs to train.
   solution: 2
 ```