Assessfy Pvt. Ltd Moderate 4 milestones 50 marks

Liver Cirrhosis Prediction System using Random Forest

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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Available mentors
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Enrolled students
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Core skills
About this project

Liver Cirrhosis Prediction System using Random Forest

Milestones
1. Data exploration
10 marks 7d
2. Training and tuning model
10 marks 7d
3. Model evaluation
15 marks 7d
4. Output dashboard
15 marks 9d
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Skills you'll learn
Machine learning Data analytics Feature engineering
Tools used
Python Scikit-learn Pandas
Prerequisites
Understanding Random Forest Health data analysis
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You'll earn — Certificate (PDF)

AICTE-aligned Project Completion Certificate

A formal, audit-ready PDF certificate issued by Assessfy + your institute on successful completion. Includes AICTE credit hours, your evaluator's signature, and a QR code for third-party verification.

Certificate of Project Completion

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has successfully completed the project

Liver Cirrhosis Prediction System using Random Forest

Auto-issued on completion QR-verifiable
You'll earn — Digital Badge

Shareable LinkedIn / Resume Skill Badge

A compact, verifiable Open-Badges-2.0-compliant digital credential. Add to your LinkedIn profile, GitHub README, or resume in one click. Recruiters can validate authenticity via a unique URL.

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