Machine Learning for Real-World Application is a course that teaches the basic and advanced concepts of Machine Learning supported by industry relevant business case studies. The course uses Python as the programming environment. Datasets required for the case studies can be obtained from the internet. This state-of-the-art course is available for engineering students who aspire to take part in knowledge building and make computers capable of taking intelligent decisions in several areas such as smart home applications, providing bank loans to customers, business analytics including share market predictions, sentiment analysis, security and surveillance, real estate businesses and more.
Intended audience
Software Engineer, Machine Learning Designer
Prerequisites
- B.E/B.Tech Any Stream 3rd Year onwards Pre-requisite: Mathematics and Statistics. Basic Programming in Python. Fundamentals of Artificial Intelligence.
Assessment & certification
- Assessment fee: Included — no extra fee
- Assessment mode: Online proctored
- Assessment type: MCQ
- Assessment provider: TCS iON
- Certificate provider: Software Engineer, Machine Learning Designer
NCrF level: 6 (NCrF credit-eligible)
