DataHour: Exploring Multi-label & Multi-class Classification

DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

In this DataHour, Aanchal will explain Multi-label & Multi-class Classification, diving deep into their basics, their key differences and the roles each of them play in the real world. She will also highlight the need of using these kinds of supervised techniques and will perform hands-on coding on sample datasets using a supervised problem . Further, She will discuss a few nuances and key points to remember while working on these problems and will share some actual problems highlighted on Kaggle for further practice after the DataHour.

Prerequisites: Basic understanding of Python Supervised Machine Learning and Binary Classification and zeal of learning Machine Learning and Data Science.

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:

Aanchal Varma

Senior Data Scientist at Freshworks

Aanchal is currently working as a Senior Data Scientist at Freshworks. With 3+ years of experience in the field of AI & Machine learning, she has worked across the B2C domain in building conversational AI tools for Bixby at Samsung and also across the B2B domain enhancing the AI capabilities in sales and marketing at Freshworks. She has also worked on multiple NLP problems catering to customer emails and chatbot conversations. She is always exploring the possibilities of AI for the social good and bringing revolutionary changes across industries.

Connect with Aanchal on Linkedin and Instagram.