Machine Learning

Intermediate

Machine Learning

Overview
Curriculum
Reviews
  • Supervised, unsupervised, and reinforcement learning.
  • Python libraries like Scikit-learn, TensorFlow, and Keras.
  • Model Building
  • Data Preprocessing
  • Algorithms: Learn linear regression, decision trees, and clustering.
  • Real-World Applications: Implement ML in projects like recommendation systems.

Curriculum

  • 120h Duration

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