This is part of the #30DaysOfDataScience. In the series we will go from understanding the Python language to working with real life data and finally creating Machine Learning models both on Azure and in Python.

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What is the session about?
Clustering Algorithm will look into your data and find similar patterns, then group the data according to the similar pattern found. A good use case is the Customer Segmentation Model

Who is it aimed at?
This session is for students, early career and professionals who are interested in setting themselves up to starting working with Data Science using Python

Why should you attend?
After this session you will be able to build an end to end Machine Learning Solution

Speaker Bio:

Carlotta Castelluccio, Cloud Advocate, Microsoft
Carlotta Castelluccio is a Cloud Advocate at Microsoft, focused on Data Analytics and Data Science. As a member of the Developer Relationships Academic team, she works on skilling and engaging educational communities to create and grow with Azure Cloud, by contributing to technical learning content and supporting students and educators in their learning journey with Microsoft technologies. Before joining the Cloud Advocacy team, she worked as an Azure and AI (ARTIFICIAL INTELLIGENCE) consultant in Microsoft Industry Solutions team, involved in customer-face engagements focused on Conversational AI solutions. Carlotta earned her master's degree in Computer Engineering from Politecnico di Torino and her Diplôme d'ingénieur from Télécom ParisTech, by completing an E+/EU Double Degree Program.