Online Food Delivery Preferences

[Pratzybha]

Pull Request for DL-Simplified 💡

Issue Title : Online Food Delivery Preferences

• Info about the related issue (Aim of the project) :
• Name: Pratibha Balgi
• GitHub ID: Pratzybha
• Email ID: [email protected]
• Identify yourself: GSSOC 24 - EXT

Closes: #793

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

1. Data Preprocessing:
   -Removed missing and irrelevant data (e.g., 'Nil' reviews).
   -Tokenized reviews and converted them into sequences suitable for deep learning models.

2. Exploratory Data Analysis (EDA):
   -Analyzed the distribution of customer demographics such as age, income, family size etc.
   -Created visualizations like bar charts and word clouds for reviews to understand sentiment polarity.

3. Model Implementation for Prediction:
   -Built CNN, RNN, and RNN+LSTM models to predict customer reordering behavior.
   -Experimented with different architectures to capture patterns in structured data.

4. Model Implementation for Sentiment Analysis:
   -Developed DNN, LSTM, and GRU models for customer review analysis.
   -These models were optimized to handle varying text lengths and interpret user sentiment effectively.

5. Evaluation and Comparison:
   -Compared models using accuracy, precision, recall, and F1-score.
   -Identified the most accurate models for each task.

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

-Compared models using accuracy, precision, recall, and F1-score.
-Identified the most accurate models for each task.

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.

[github-actions]

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