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Hotel Booking Demand Prediction #734

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Pull Request for ML-Crate 💡

Issue Title: Hotel Booking Demand Prediction

  • Info about the related issue (Aim of the project) : Predicting cancellation status using booking data to estimate demand for hotel rooms.
  • Name: Siddhant Tiwari
  • Email ID for further communication: siddhant.tiwari.ds@gmail.com
  • GitHub ID: siddhant4ds
  • Identify yourself: N/A (Issue assigned during SSOC-3)

Closes: #665

Describe the add-ons or changes you've made 📃

  1. Exploratory data analysis for the target dataset.
  2. Feature engineering using discretizing, target-encoding and re-categorizing.
  3. Feature selection using statistical tests and model-based feature-importances.
  4. Trained a variety of models to ensure different representations are learned.
  5. Ensembled the models using different averaging configurations.
  6. Weighted-averaging performed better than all the individual models.

Type of change ☑️

What sort of change have you made:

  • New feature (non-breaking change which adds functionality)

How Has This Been Tested? ⚙️

  • Dependencies tested by running project on both local and cloud environment.
  • Reproducibility of experiments ensured by fixing seeds and tested over multiple runs.

Checklist: ☑️

  • My code follows the guidelines of this project.
  • I have performed a self-review of my own code.
  • I have commented my code, particularly wherever it was hard to understand.
  • I have made corresponding changes to the documentation.
  • My changes generate no new warnings.
  • I have added things that prove my fix is effective or that my feature works.
  • Any dependent changes have been merged and published in downstream modules.

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Our team will soon review your PR. Thanks @siddhant4ds :)

@siddhant4ds
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@abhisheks008 Requesting a review. Thanks.

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HOTEL BOOKING DEMAND PREDICTION
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