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Best Insurance Claim Prediction Web App Using Machine Learning
OverviewThe Insurance Claim Prediction App is a web tool made with Streamlit that uses machine learning to guess how much someone’s
📊 Insurance Claim Prediction – Data Science Project
Build a smart system that predicts whether a customer is likely to claim insurance using historical data and machine learning models. Perfect for those exploring data science in the insurance domain.
🚀 Key Highlights:
✅ Logistic Regression, Random Forest, and XGBoost models
✅ Data preprocessing, encoding & feature selection
✅ Imbalanced data handling techniques
✅ Performance evaluation using accuracy, precision, recall, F1-score
✅ Clean Python code with visualization
🔗 Project Link:
Insurance Claim Prediction
📦 For more projects:
🔗 https://t.me/Projectwithsourcecodes
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Build a smart system that predicts whether a customer is likely to claim insurance using historical data and machine learning models. Perfect for those exploring data science in the insurance domain.
🚀 Key Highlights:
✅ Logistic Regression, Random Forest, and XGBoost models
✅ Data preprocessing, encoding & feature selection
✅ Imbalanced data handling techniques
✅ Performance evaluation using accuracy, precision, recall, F1-score
✅ Clean Python code with visualization
🔗 Project Link:
Insurance Claim Prediction
📦 For more projects:
🔗 https://t.me/Projectwithsourcecodes
#InsurancePrediction #DataScienceProject #MachineLearning #PythonProjects #MLModels #FinalYearProject #AIinInsurance #projectwithsourcecodes
insurance claim-prediction machine learning github
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Update Gadh
Best Job Recommendation System
The Job Recommendation System Engine helps solve this problem by using data scraping, custom data processing, and machine learning
🤝 Job Recommendation System – Python Project
Empower users with intelligent job suggestions based on their skills and preferences using machine learning. An ideal project for anyone diving into recommendation algorithms and HR tech.
Key Features
• Personalized job matching using content-based filtering
• User input-driven suggestions (skills, experience, job type)
• Built with Python, Pandas, and Scikit-learn
• Clean, easy-to-follow code suitable for portfolios
🔗 Explore the full project here:
Job Recommendation System – View Project
📢 Dive into more practical, real-world Python projects:
https://t.me/Projectwithsourcecodes
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Empower users with intelligent job suggestions based on their skills and preferences using machine learning. An ideal project for anyone diving into recommendation algorithms and HR tech.
Key Features
• Personalized job matching using content-based filtering
• User input-driven suggestions (skills, experience, job type)
• Built with Python, Pandas, and Scikit-learn
• Clean, easy-to-follow code suitable for portfolios
🔗 Explore the full project here:
Job Recommendation System – View Project
📢 Dive into more practical, real-world Python projects:
https://t.me/Projectwithsourcecodes
#JobRecommendation #PythonProject #MachineLearning #CareerTech #RecruitmentAI #StudentProjects #OpenSourceCode #FinalYearProject #projectwithsourcecodes
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