Data Science

The Nuts and Bolts of ML

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Learn to distinguish between different types of machine learning, prepare data for model development, build and evaluate Python-based models for both supervised and unsupervised learning, and choose the right model and metric for a given algorithm.

Key AI Functions:Stack Overflow, Python Programming, Machine Learning, Effective Communication, Predictive Modelling

Description for The Nuts and Bolts of ML

  • Determine the distinguishing features of the various forms of machine learning.
  • Prepare data for the development of machine learning models.
  • Develop and assess Python-based models for both supervised and unsupervised learning.
  • Illustrate the appropriate selection of a model and metric for a machine learning algorithm.
  • Level: Advanced

    Certification Degree: Yes

    Languages the Course is Available: 2

    Offered by: On Coursera provided by Google

    Duration: 36 hours (approximately)

    Schedule: Flexible

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