DataHour: An Unsupervised ML approach using Clustering

DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

Unsupervised machine learning is a machine learning technique where the final goal is not defined and models have to find the hidden patterns and insights from the given data itself. “Clustering” is an approach of unsupervised learning which means grouping similar data  together. The main aim of clustering is to identify the similarities in the data point and group similar data points together.

In this DataHour, Pritesh will explain all about the Data Science foundation focusing on an unsupervised machine learning approach using clustering.

Prerequisites: Eagerness for learning Data Science and  basic understanding of Python programming.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Pritesh Tiwari

Founder & Chief Data Scientist at Data Science Wizards

Pritesh, Founder of Data Science Wizards is a Chief Data Scientist and Techpreneur with an experience of 7+ years in Data Science. He is Associate Faculty in the National College of Ireland and in his last engagement before starting up, he had set up and scaled up an AI and Innovation team in a multi-national insurance company. Pritesh is always excited and keen to learn new technological advancements and can have passionate discussions about Data Science technologies, business use cases, and tools, leveraging the power of AI and Automation at any time of the day. He has completed his Masters in Data Analytics from the National College of Ireland in Dublin.

Pritesh is a recognised AI mentor for Platforms like Tapchief and IIT upgrad Programs.. He's been a Data Science trainer in MBA colleges in Mumbai and Private training institutes like Imarticus, also including universities like Mumbai university and Shivaji University. He has been part of multiple data Science books and publications as a technical Author and reviewer.

Connect with Pritesh on Linkedin and  Twitter.