Fixes #786 Crab_Age_Prediction

[Varunshiyam]

Related Issues or bug

Age prediction in crabs is complex due to several challenges:

• Biological Variability: Differences in growth rates across individual crabs due to genetics and environmental factors.
• Measurement Limitations: Variability in available biological measurements.
• Feature Selection: Identifying which measurements contribute most effectively to accurate age prediction.

Fixes: #786

Proposed Changes

The model uses various machine learning algorithms, including linear regression, decision trees, and ensemble methods. Steps taken include:

1. Exploratory Data Analysis (EDA): Identifying patterns, outliers, and relationships within the data.
2. Feature Engineering: Selecting and transforming features to improve model accuracy.
3. Model Selection and Training: Comparing multiple models to determine the best predictor of crab age.

[vercel]

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Name	Status	Preview	Comments	Updated (UTC)
ml-nexus	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Nov 6, 2024 6:27am

[github-actions]

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[github-actions]

🎉🎉 Thank you for your contribution! Your PR #788 has been merged! 🎉🎉