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What You’ll Learn

  • Foundations of Machine Learning:Understand the key principles of supervised, unsupervised, and reinforcement learning.
  • Data Preprocessing: Clean, prepare, and transform data for optimal analysis and modeling.
  • Regression and Classification Models:Build and evaluate predictive models using algorithms like linear regression, decision trees, and SVMs.
  • Neural Networks: Dive into deep learning and train models for image recognition, text analysis, and more.
  • Model Evaluation & Tuning:Learn techniques like cross-validation and hyperparameter optimization to enhance performance.

Why Choose This Specialization?

  • Comprehensive Curriculum: Covers all aspects of machine learning, from beginner to advanced levels.
  • Interactive Learning: Work on hands-on projects to solidify your understanding.
  • Career-Ready Skills: AAcquire the expertise needed to excel in roles like Data Scientist, AI Specialist, or ML Engineer.

Who Should Enroll?

  • Aspiring data scientists and machine learning enthusiasts.
  • Professionals aiming to transition into AI or data-driven careers.
  • Researchers and academicians exploring the latest ML techniques.

Course Highlights:

Real-World Projects

Build models for applications like recommendation systems and fraud detection.


Expert-Led Modules

Learn from industry leaders in machine learning.


Certification

Earn a globally recognized credential to showcase your skills.


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₹47,500
  • Skill LevelBasic
  • LanguageEnglish
  • Quizzes5
  • Assessments4
  • CertificateYes