chore: manual translations (#42811)

curriculum/challenges/espanol/11-machine-learning-with-python/machine-learning-with-python-projects/book-recommendation-engine-using-knn.md

@@ -2,6 +2,7 @@
 id: 5e46f8e3ac417301a38fb92f
 title: Book Recommendation Engine using KNN
 challengeType: 10
+forumTopicId: 462378
 dashedName: book-recommendation-engine-using-knn
 ---
 

curriculum/challenges/espanol/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.md

@@ -2,6 +2,7 @@
 id: 5e46f8dcac417301a38fb92e
 title: Cat and Dog Image Classifier
 challengeType: 10
+forumTopicId: 462377
 dashedName: cat-and-dog-image-classifier
 ---
 

curriculum/challenges/espanol/11-machine-learning-with-python/machine-learning-with-python-projects/linear-regression-health-costs-calculator.md

@@ -2,6 +2,7 @@
 id: 5e46f8edac417301a38fb930
 title: Linear Regression Health Costs Calculator
 challengeType: 10
+forumTopicId: 462379
 dashedName: linear-regression-health-costs-calculator
 ---
 

curriculum/challenges/espanol/11-machine-learning-with-python/machine-learning-with-python-projects/neural-network-sms-text-classifier.md

@@ -2,6 +2,7 @@
 id: 5e46f8edac417301a38fb931
 title: Neural Network SMS Text Classifier
 challengeType: 10
+forumTopicId: 462380
 dashedName: neural-network-sms-text-classifier
 ---
 

curriculum/challenges/espanol/11-machine-learning-with-python/machine-learning-with-python-projects/rock-paper-scissors.md

@@ -2,6 +2,7 @@
 id: 5e46f8d6ac417301a38fb92d
 title: Rock Paper Scissors
 challengeType: 10
+forumTopicId: 462376
 dashedName: rock-paper-scissors
 ---
 
@@ -9,7 +10,7 @@ dashedName: rock-paper-scissors
 
 For this challenge, you will create a program to play Rock, Paper, Scissors. A program that picks at random will usually win 50% of the time. To pass this challenge your program must play matches against four different bots, winning at least 60% of the games in each match.
 
-You can access [the full project description and starter code on repl.it](https://repl.it/github/freeCodeCamp/boilerplate-rock-paper-scissors).
+You can access [the full project description and starter code on Replit](https://replit.com/github/freeCodeCamp/boilerplate-rock-paper-scissors).
 
 After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
 

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

@@ -18,7 +18,7 @@ char_dataset = tf.data.__A__.__B__(text_as_int)
 
 ## --answers--
 
-A: `DataSet`
+A: `Dataset`
 
 B: `from_tensor_slices`