Supervised Learning

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About Course

Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence.

It is defined by its use of labeled datasets to train algorithms to classify data or predict outcomes accurately. As input data is fed into the model, it adjusts its weights until the model has been fitted appropriately, which occurs as part of the cross-validation process. Supervised learning helps organizations solve a variety of real-world problems at scale, such as classifying spam in a separate folder from your inbox.

 

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What Will You Learn?

  • Learn Supervised Learning

Course Content

Supervised Learning

  • Supervised Learning: Linear Regression – Part 1
    00:00
  • Supervised Learning: Linear Regression – Part 2
    00:00
  • Supervised Learning: Linear Regression – Part 3
    00:00
  • Supervised Learning: Linear Regression – Part 4
    00:00
  • Supervised Learning: Example using Python – Part 5
    00:00
  • Supervised Learning: Example using Python – Part 6
    00:00
  • Logistic Regression: Part 1
    00:00
  • Logistic Regression: Part 2
    00:00
  • Back Propagation
    00:00

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