Enhancement: Added Sales Prediction (Research Paper Implementation) Folder with Advanced Models and Documentation

[worldisconfusion]

Here’s an updated pull request message considering you added a new folder for research paper implementation:

---

Related Issue

Fixes: #1206

Description

This pull request adds a new folder, Sales Prediction (Research Paper Implementation), which contains a comprehensive implementation of sales forecasting models inspired by research papers. The folder includes updated datasets, model files, and a structured Jupyter Notebook for end-to-end experimentation.

Summary

New Folder: Sales Prediction (Research Paper Implementation)

• Contains a detailed Jupyter Notebook: Final_sales_research.ipynb.
• Integrates multiple models inspired by published research papers.
• Includes new preprocessing pipelines tailored for more robust feature engineering.

Features Added

1. Advanced LSTM Implementation:
   • Added dropout layers to prevent overfitting.
   • Optimized hyperparameters based on grid search results.
2. Stacking Model Enhancements:
   • Implemented new base models for stacking.
   • Improved meta-learner model for higher accuracy.
3. Data Visualizations:
   • Enhanced sales trend visualizations.
   • Added correlation heatmaps for feature importance analysis.

Dataset Updates

• Introduced refined datasets with additional columns for experimentation:
  • train.csv: Updated with normalized sales data.
• Dataset link: [New Dataset].

Results

Updated model performance metrics, showcasing significant improvements in accuracy and error rates across the board.

Documentation Updates

• Added detailed README for the new folder explaining usage and goals.
• Provided step-by-step instructions for reproducing results from the research papers.

Motivation

This addition enhances the repository’s scope by including implementations inspired by recent advances in sales prediction research, making it more robust and comprehensive for users and researchers.

Dependencies

No new dependencies were introduced for this change.

Type of PR

• Bug fix
• Feature enhancement
• Documentation update
• Other (specify): _____________________

Screenshots

Updated Folder Structure

ML-CaPsule/SalesSales Prediction(Research Paper Implementation)

.gitignore

Final_sales.ipynb

my_lstm_model.h5

train.csv

Checklist:

• I have made this change from my own.
• I have taken help from some online resources.
• My code follows the style guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly in hard-to-understand areas.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have tested the changes thoroughly before submitting this pull request.
• I have provided relevant issue numbers and screenshots after making the changes.

---

[github-actions]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊