DataHour: Introduction to Classification using Azure Machine Learning

Online 20-10-2022 07:00 PM to 20-10-2022 08:00 PM
  • 4937


  • Knowledge and Learning


DataHour Recording

About the DataHour:

Classification is a supervised machine learning technique used to predict categories or classes. The most common classification problems are – speech recognition, face detection, handwriting recognition, document classification, etc. Training and deploying an effective machine learning model involves a lot of work, much of it time-consuming and resource-intensive. Azure Machine Learning is a cloud-based service that helps simplify some of the tasks it takes to prepare data, train a model, and deploy a predictive service.

Classification machine learning models can be built using Azure Machine Learning. Most importantly, Azure Machine Learning helps data scientists increase their efficiency by automating many of the time-consuming tasks associated with training models. It enables them to use cloud-based compute resources that scale effectively to handle large volumes of data while incurring costs only when actually used. In this DataHour, Hemant will explain all about classification using Azure Machine Learning from scratch. 


Curiosity of learning Data Science and basic understanding of Python, ML foundations, Azure ML subscription

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


Hemanth Kumar, Data Scientist at Brillio Technologies pvt Ltd

Hemanth is a Data Scientist with experience in Industry and Research of 8 years. He is well-versed with predictive modeling, data processing and data mining algorithms to solve business problems. He posses Hands-on experience with ML, DL, Statistics, Tableau, Python, API creation, and Production Deployment., Azure Machine learning, and Azure Data Bricks, Azure Data factory.

Connect with Hemanth on linkedin


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