Machine Learning

Learn how machines learn from data. Build intelligent systems that automate decisions using supervised and unsupervised learning techniques.

  • Regression, classification, and clustering
  • Model evaluation and performance tuning
  • Real-world projects with structured data
Machine learning
What you will learn

Feature engineering, model selection, and deploying ML models.

Browse Courses
Foundations
Foundations

Math, linear algebra basics, and probability for ML.

Algorithms
Algorithms

Decision trees, SVMs, and ensemble methods.

Deployment
Deployment

Serve models with APIs and monitor performance in production.

Tools You Will Use

Scikit-learn, Jupyter, MLflow basics, and GitHub for versioning.

  • Model tracking
  • Experiment management
  • Model monitoring
ML projects
Project Based Learning

Build recommendation systems, churn prediction, and anomaly detection.

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Web developer
HighestRated

Updated November 2025

  • 23 total hours
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Software Developer

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Full Stack Developer
Featured

Updated January 2026

  • 23 total hours
  • beginer

Full Stack Developer

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CCNA Networking
Featured

Updated January 2026

  • 23 total hours
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CCNA Networking

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Software Testing
Bestseller

Updated January 2026

  • 23 total hours
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Testing Software

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Digital Marketing
Featured

Updated January 2026

  • 23 total hours
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Digital Marketing

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Software Developer
Bestseller

Updated January 2026

  • 23 total hours
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Software Developer

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