You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This analysis uses Principal Components Analysis and k-Means clustering to identify useful subgroups within FiveThirtyEight's Ultimate Halloween Candy Power Ranking dataset. It also used hypothesis tests to assess whether differences exist between popular and unpopular candies.
Data Mining course 1st/2 Assignment focused in extracting data and information for customer sentiment and metrics. Initially, data are pre-processed as described in the code comments. One-Hot-Encoding and Clustering implementations included.