Course description

Flight fare detection using AutoSKLearn is a machine learning technique that automates the process of developing predictive models for flight ticket prices. It uses the AutoSKLearn library, which automatically selects the best machine learning algorithms, hyperparameters, and data pre-processing techniques to build a high-performing model. This approach can help airline companies and travel agencies to accurately predict the prices of airline tickets, which can help them make informed decisions regarding pricing and revenue management.

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What will i learn?

  • AutoSKLearn uses advanced machine learning algorithms and techniques to build highly accurate predictive models for flight ticket prices.
  • Accurate predictions of flight fares can help airlines and travel agencies optimize their revenue management strategies.
  • AutoSKLearn automates the process of model selection and hyperparameter tuning, reducing the time and effort required to develop a predictive model. This can save airline companies and travel agencies significant time and cost in the long run.
  • AutoSKLearn can be used to build predictive models for large datasets, making it scalable for airlines and travel agencies with large amounts of data.

Requirements

  • Machine Learning projects

Project Bank

Rp 1299

Rp 4999

Lectures

9

Skill level

Intermediate

Expiry period

Lifetime

Certificate

Yes

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