From 71aba0b0cfd772da9a7125a8d5282bf882671c68 Mon Sep 17 00:00:00 2001
From: Beau Carnes <beaucarnes@gmail.com>
Date: Sat, 13 Jun 2020 05:43:21 -0400
Subject: [PATCH] fix: update Colab link and wording machine learning
 challenges (#39061)

---
 .../book-recommendation-engine-using-knn.english.md  | 10 +---------
 .../cat-and-dog-image-classifier.english.md          | 10 +---------
 ...ear-regression-health-costs-calculator.english.md | 12 ++----------
 .../neural-network-sms-text-classifier.md            | 10 +---------
 4 files changed, 5 insertions(+), 37 deletions(-)

diff --git a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/book-recommendation-engine-using-knn.english.md b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/book-recommendation-engine-using-knn.english.md
index 0a3ffaa433..59779832aa 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/book-recommendation-engine-using-knn.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/book-recommendation-engine-using-knn.english.md
@@ -16,15 +16,7 @@ You can access <a href='https://colab.research.google.com/drive/1TDgXyXqZwsiGlnu
 
 After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."
 
-We are still developing the interactive instructional content for the machine learning curriculum. For now, check out these learning resources on the freeCodeCamp.org YouTube channel:
-<ul>
-  <li>
-    <a href='https://www.freecodecamp.org/news/learn-to-develop-neural-networks-using-tensorflow-2-0-in-this-beginners-course/'>TensorFlow 2.0 Course</a> (2 hours)
-  </li>
-  <li>
-    <a href='https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s'>Machine learning playlist</a>
-  </li>
-<ul>
+We are still developing the interactive instructional content for the machine learning curriculum. For now, you can go through the video challenges in this certification. You may also have to seek out additional learning resources, similar to what you would do when working on a real-world project.
 
 </section>
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.english.md b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.english.md
index 78ebeead81..273a984ff2 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/cat-and-dog-image-classifier.english.md
@@ -14,15 +14,7 @@ You can access <a href='https://colab.research.google.com/drive/1UCHiRuBLxo0S3aM
 
 After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."
 
-We are still developing the interactive instructional content for the machine learning curriculum. For now, check out these learning resources on the freeCodeCamp.org YouTube channel:
-<ul>
-  <li>
-    <a href='https://www.freecodecamp.org/news/learn-to-develop-neural-networks-using-tensorflow-2-0-in-this-beginners-course/'>TensorFlow 2.0 Course</a> (2 hours)
-  </li>
-  <li>
-    <a href='https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s'>Machine learning playlist</a>
-  </li>
-<ul>
+We are still developing the interactive instructional content for the machine learning curriculum. For now, you can go through the video challenges in this certification. You may also have to seek out additional learning resources, similar to what you would do when working on a real-world project.
 
 </section>
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/linear-regression-health-costs-calculator.english.md b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/linear-regression-health-costs-calculator.english.md
index 4a2aa12cb0..79c548be10 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/linear-regression-health-costs-calculator.english.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/linear-regression-health-costs-calculator.english.md
@@ -12,19 +12,11 @@ In this challenge, you will predict healthcare costs using a regression algorith
 
 You are given a dataset that contains information about different people including their healthcare costs. Use the data to predict healthcare costs based on new data.
 
-You can access <a href='https://colab.research.google.com/drive/1h6SMDpC6o-6TFsgdizb3tk5zgE_DYWEo' target='_blank'>the full project instructions and starter code on Google Colaboratory</a>.
+You can access <a href='https://colab.research.google.com/drive/1o8sTSCMa8Tnmcqhp_2BKKJEaHFoFmRzI?usp=sharing' target='_blank'>the full project instructions and starter code on Google Colaboratory</a>.
 
 After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."
 
-We are still developing the interactive instructional content for the machine learning curriculum. For now, check out these learning resources on the freeCodeCamp.org YouTube channel:
-<ul>
-  <li>
-    <a href='https://www.freecodecamp.org/news/learn-to-develop-neural-networks-using-tensorflow-2-0-in-this-beginners-course/'>TensorFlow 2.0 Course</a> (2 hours)
-  </li>
-  <li>
-    <a href='https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s'>Machine learning playlist</a>
-  </li>
-<ul>
+We are still developing the interactive instructional content for the machine learning curriculum. For now, you can go through the video challenges in this certification. You may also have to seek out additional learning resources, similar to what you would do when working on a real-world project.
 
 </section>
 
diff --git a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/neural-network-sms-text-classifier.md b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/neural-network-sms-text-classifier.md
index 8403f703fe..21d3b3248b 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/neural-network-sms-text-classifier.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/machine-learning-with-python-projects/neural-network-sms-text-classifier.md
@@ -14,15 +14,7 @@ You can access <a href='https://colab.research.google.com/drive/1qfVQwSKAKU-NKPY
 
 After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."
 
-We are still developing the interactive instructional content for the machine learning curriculum. For now, check out these learning resources on the freeCodeCamp.org YouTube channel:
-<ul>
-  <li>
-    <a href='https://www.freecodecamp.org/news/learn-to-develop-neural-networks-using-tensorflow-2-0-in-this-beginners-course/'>TensorFlow 2.0 Course</a> (2 hours)
-  </li>
-  <li>
-    <a href='https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s'>Machine learning playlist</a>
-  </li>
-<ul>
+We are still developing the interactive instructional content for the machine learning curriculum. For now, you can go through the video challenges in this certification. You may also have to seek out additional learning resources, similar to what you would do when working on a real-world project.
 
 </section>