smart-phone-analysis

[BenakDeepak]

Here's a concise update based on the format you've specified:

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Related Issues or Bug

• Lack of additional predictive features may limit model accuracy.
• Dataset might need further cleaning to reflect realistic data distributions.

Fixes: #688

Proposed Changes

• Added columns like brand, model, and storage capacity as predictors for improved accuracy.
• Filled NaN values in the Rating column and adjusted the distribution to ensure realistic values.
• Optimized RandomForestRegressor with GridSearchCV for hyperparameter tuning.
• Compared RandomForestRegressor with GradientBoostingRegressor and XGBoost for model selection.
• Created log transformation on Reviews due to high range and added interaction terms between Rating and Reviews.

Additional Info

• Conducted exploratory data analysis (EDA) to understand data patterns and significant predictors.
• Added Mean Absolute Error (MAE) as an evaluation metric alongside RMSE for more comprehensive error assessment.

Screenshots

Original	Updated
Original screenshot	Updated screenshot

[github-actions]

👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly.
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To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review!

[github-actions]

🎉🎉 Thank you for your contribution! Your PR #697 has been merged! 🎉🎉