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Machine Learning and Predictive Models

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About The Course

This course introduces ML concepts and how predictive models are built, trained, validated, and deployed to solve business problems.

Objectives

  • Understand supervised and unsupervised learning.
  • Train predictive models using real datasets.
  • Validate accuracy with cross-validation techniques.
  • Deploy models for forecasting and decision-making.
  • Apply ML to finance, insurance, and operations.

Requirements

Requirement

Analytical, data science, or programming background.

Requirement

Experience with Python, R, or similar languages.

Requirement

Mathematics/statistics foundation.

Requirement

Great for analysts, modelers, and strategists.

Register or Have Questions?

01 Register Now

02 Request Information?

You can contact our support team via Contact Page or call directly to inquire more about this course.

03 Know more about the course Duration

This course spans 2 Months and is available in Virtual mode.

Course Info

  • Category: Banking, Insurance & Fin. Services
  • Mode: Virtual
  • Start Date: May 18, 2025
  • End Date: Aug 31, 2025
  • Public: Yes

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