POST-PONED
Clustering
Got an interest in using Python for Data Science in your business? Check out Ashish Trehan’s new meetup!
We will be continuing our series on Unsupervised Learning and delving into Clustering.
Clustering refers to the process of automatically grouping together data points with similar characteristics and assigning them to “clusters.” Some use cases for clustering include:
Recommender systems (grouping together users with similar viewing patterns on Netflix, in order to recommend similar content)
Anomaly detection (fraud detection, detecting defective mechanical parts)
Genetics (clustering DNA patterns to analyze evolutionary biology)
Customer segmentation (understanding different customer segments to devise marketing strategies)
Ashish has been a member of theClubhouse since March. He has been a Data Scientist for the last five years. He also works part-time instructing with a Data Science bootcamp through University of Texas McCombs and Great Learning.
Bring a laptop with Jupyter Notebook installed. You will be meeting in the Conference Room at theClubhou.se.