In this video:
- Romeo Kienzler, Chief Data Scientist, IBM
Romeo begins by demonstrating an application that uses the same dataset developed in his “Introduction to Clustering” video. He runs through the application without feature engineering, achieving a 92% success rate. He then simply adds the means of the input dimensions. By so doing, he improves his success rate to a full 100%.
Follow Romeo as he tackles the most difficult challenges in data science.