Sklearn K-Means Python Example | Interpreting Clustering results

I have been using sklearn K-Means algorithm for clustering customer data for years. This algorithm is fairly straightforward to implement. However, interpreting the output is where we need to be very smart. In this video, we will cover how to write a K-means algorithm and also interpret the results to bring out some business outcomes. Kaggle Kernel: https://www.kaggle.com/funxexcel/p1-sklearn-k-means-example 0:0 Introduction to Data 0:59 Clean data and choose variables for clustering 5:30 Sklearn K-Means example code 7: 50 Interpreting clustering results 11:30 Wrapping up #machineleaning #kmeans #clusterning