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ML: Supervised Learning An Introduction

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By utilizing modern Python libraries, investigating machine learning tools, and delving into logistic regression, decision trees, and linearly inseparable data, you can master AI with our course.

Key AI Functions:Hyperparameter, sklearn, ensembling, Decision Tree

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Description for ML: Supervised Learning An Introduction

Utilize contemporary machine learning and Python libraries.

Compare logistic regression's pros and cons.

Explain linearly-inseparable data handling.

Define decision tree and how it breaks nodes.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by University of Colorado Boulder

Duration: 39 hours (approximately)

Schedule: Flexible

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