Teachers Students
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Computer

Machine Learning Basics

  • Trainer: Himani Bisht trainer-image
  • Last Update: 25 February, 2024

Course Description

Explore the fundamentals of Machine Learning in this introductory course. Learn key concepts, algorithms, and tools used to build predictive models, with hands-on projects to apply your knowledge.

What You Will Learn?
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Understand supervised and unsupervised learning

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Implement basic ML algorithms (e.g., linear regression)

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Use Python libraries like scikit-learn and pandas

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Preprocess and analyze data for ML models

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Build and evaluate simple ML projects

Centers

No centers assigned.

Requirements
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Himani Bisht

Computer
  • icon 10+ Courses
  • icon 500+ Students Learned
  • icon 100+ Reviews
  • icon 4.8 Average Rating

m.tech in Automation

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  • Monthly Fee icon
  • Free
  • Instructor icon
  • Himani Bisht
  • Lectures icon
  • 10
  • Duration icon
  • 6 months
  • Enrolled icon
  • 500 Students
  • Course level icon
  • Intermediate
  • Course Type icon
  • online
  • Language icon
  • English

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