missed facetgrid

5-Clustering/1-Visualize/README.md

@@ -298,6 +298,8 @@ sns.FacetGrid(df, hue="artist_top_genre", size=5) \
    .add_legend()
 ```
 
+![Facetgrid](images/facetgrid.png)
+
 In general, for clustering, you can use scatterplots to show clusters of data, so mastering this type of visualization is very useful. In the next lesson, we will take this filtered data and use k-means clustering to discover groups in this data that seems to overlap in interesting ways.
 ## 🚀Challenge
 

5-Clustering/2-K-Means/README.md

@@ -1,12 +1,14 @@
 # K-Means Clustering
 
-![Embed a video here if available](video-url)
+[![Andrew Ng explains Clustering](https://img.youtube.com/vi/hDmNF9JG3lo/0.jpg)](https://youtu.be/hDmNF9JG3lo "Andrew Ng explains Clustering")
-https://www.youtube.com/watch?v=hDmNF9JG3lo
+
+> 🎥 Click the image above for a video: Andrew Ng explains Clustering
 
-https://stanford.edu/~cpiech/cs221/handouts/kmeans.html
 ## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/27/)
 
-Describe what we will learn
+In this lesson, you will learn how to create clusters using Scikit-Learn and the Nigerian music dataset you imported earlier. We will cover
+
+- Data variance
 
 ### Introduction
 
@@ -22,7 +24,7 @@ Preparatory steps to start this lesson
 
 ## 🚀Challenge
 
-
+Spend some time with this notebook, tweaking parameters. Can you improve the accuracy of the model by cleaning  the data more (removing outliers, for example)? What else can you do to create better clusters?
 
 ## [Post-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/28/)
 
@@ -30,4 +32,7 @@ Preparatory steps to start this lesson
 
 Take a look at Stanford's K-Means Simulator [here](https://stanford.edu/class/engr108/visualizations/kmeans/kmeans.html). You can use this tool to visualize sample data points and determine its centroids. With fresh data, click 'update' to see how long it takes to find convergence. You can edit the data's randomness, numbers of clusters and numbers of centroids. Does this help you get an idea of how the data can be grouped?
 
-**Assignment**: [Assignment Name](assignment.md)
+Also, take a look at [this handout on k-means](https://stanford.edu/~cpiech/cs221/handouts/kmeans.html
+) from Stanford
+
+**Assignment**: [Try different clustering methods](assignment.md)