diff --git a/5-Clustering/README.md b/5-Clustering/README.md index b5010bba..e93e7d7e 100644 --- a/5-Clustering/README.md +++ b/5-Clustering/README.md @@ -8,19 +8,21 @@ Nigeria's diverse audience has diverse musical tastes. Using data scraped from S ![A turntable](./images/turntable.jpg) -Photo by Marcela Laskoski on Unsplash +> Photo by Marcela Laskoski on Unsplash In this series of lessons, you will discover new ways to analyze data using clustering techniques. Clustering is particularly useful when your dataset lacks labels. If it does have labels, then classification techniques such as those you learned in previous lessons might be more useful. But in cases where you are looking to group unlabelled data, clustering is a great way to discover patterns. > There are useful low-code tools that can help you learn about working with clustering models. Try [Azure ML for this task](https://docs.microsoft.com/learn/modules/create-clustering-model-azure-machine-learning-designer/?WT.mc_id=academic-15963-cxa) + ## Lessons 1. [Introduction to clustering](1-Visualize/README.md) 2. [K-Means clustering](2-K-Means/README.md) + ## Credits These lessons were written with 🎶 by [Jen Looper](https://www.twitter.com/jenlooper) with helpful reviews by [Rishit Dagli](https://rishit_dagli) and [Muhammad Sakib Khan Inan](https://twitter.com/Sakibinan). The [Nigerian Songs](https://www.kaggle.com/sootersaalu/nigerian-songs-spotify) dataset was sourced from Kaggle as scraped from Spotify. -Useful K-Means examples that aided in creating this lesson include this [iris exploration](https://www.kaggle.com/bburns/iris-exploration-pca-k-means-and-gmm-clustering), this [introductory notebook](https://www.kaggle.com/prashant111/k-means-clustering-with-python), and this [hypothetical NGO example](https://www.kaggle.com/ankandash/pca-k-means-clustering-hierarchical-clustering). \ No newline at end of file +Useful K-Means examples that aided in creating this lesson include this [iris exploration](https://www.kaggle.com/bburns/iris-exploration-pca-k-means-and-gmm-clustering), this [introductory notebook](https://www.kaggle.com/prashant111/k-means-clustering-with-python), and this [hypothetical NGO example](https://www.kaggle.com/ankandash/pca-k-means-clustering-hierarchical-clustering).