DataHour: Introduction to Positive Unlabelled(PU) Learning

Online 04-11-2022 07:00 PM to 04-11-2022 08:00 PM
  • 5248


  • Knowledge and Learning


DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

Positive-Unlabelled (PU) learning is a Machine Learning approach to Binary Classification where the training data comprises  positive instances as well as an additional unlabeled data that might contain positive and negative instances in unknown proportions. Positive-unlabeled learning methods aim to incorporate this unique scenario into the learning process, in a way that improves generalization of the learned representations of the positive class, when compared to simply treating all unlabelled instances as purely negative instances, or alternatively discarding them and training a one-class classifier over only the positive samples.

In this DataHour Chandra will explain all about Positive Unlabelled learning including its basics, use and practical applications.

Prerequisites: Interest in learning Data Science and Basic understanding of Machine Learning, Supervised Classification.

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


Sri Chandra Duddu

AI Scientist II at Cropin

Sri Chandra is an Alumni of IIT Kharagpur. He has worked with Organisations like Axis Bank and CropIn in their respective AI Labs. He is a habituated Data Scientist with vivid expertise in a variety of Machine Learning use-cases focusing on Predictive Modelling, especially in Banking and Agri-tech domains. He loves participating in ML Hackathons and learns his Data Science majorly from such ecosystems.

Connect with Chandra on linkedin.


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