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ML Theory & Hands-on: Python Specialization

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Learn to develop, assess, and enhance machine learning models using Python libraries, covering introductory deep learning, supervised, and unsupervised learning algorithms.

Key AI Functions:Unsupervised Learning,Python Programming,Deep Learning,hyperparameter tuning,Supervised Learning

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Description for ML Theory & Hands-on: Python Specialization

Examine a variety of introductory Deep Learning topics and classic Supervised and Unsupervised Learning algorithms.

Develop and assess machine learning models by employing widely used Python libraries and contrasting the advantages and disadvantages of each algorithm.

Specify the most appropriate Machine Learning models to apply to a Machine Learning task in accordance with the properties of the data.

Enhance model efficacy by implementing a variety of techniques, including regularization and sampling, and tuning hyperparameters.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by University of Colorado Boulder

Duration: 3 months at 10 hours a week

Schedule: Flexible

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