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Placement Prediction Using Machine Learning
Placement Prediction The project is useful for colleges, teachers, and students. It helps them understand placement chances and make better
🎓📊 Placement Prediction System – Python Project 🐍🧠
Predict whether a student will be placed or not based on academic and skillset data using machine learning techniques. A great choice for final-year data science projects!
🔍 Key Features:
✅ Predicts placement status using ML models
📈 Logistic Regression, Decision Tree, etc.
📁 CSV-based dataset included
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Placement Prediction System – Python
📢 For more ML & data-driven academic projects:
🔗 https://t.me/Projectwithsourcecodes
🎯 Empower students with predictive career insights!
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Predict whether a student will be placed or not based on academic and skillset data using machine learning techniques. A great choice for final-year data science projects!
🔍 Key Features:
✅ Predicts placement status using ML models
📈 Logistic Regression, Decision Tree, etc.
📁 CSV-based dataset included
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Placement Prediction System – Python
📢 For more ML & data-driven academic projects:
🔗 https://t.me/Projectwithsourcecodes
🎯 Empower students with predictive career insights!
#PlacementPrediction #MLProject #DataScience #PythonMachineLearning #FinalYearProject #OpenSourceCode #StudentProject #projectwithsourcecodes placement prediction using machine learning github
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Diabetes Prediction Using Machine Learning Based Web App
Diabetes Prediction This project is a professional-level web app built to predict the risk of diabetes in patients using clinical details like glucose level,
🩺🔍 Diabetes Prediction System – Python Project 🐍📊
Predict the likelihood of diabetes using patient health data with machine learning. A must-have project for healthcare AI and data science portfolios!
🔍 Key Features:
✅ Predicts diabetes based on key health indicators
📊 Uses Logistic Regression, SVM, etc.
📁 Dataset preprocessing & visualization
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Diabetes Prediction – Python Project
📢 For more AI & healthcare-based projects:
🔗 https://t.me/Projectwithsourcecodes
📈 Make smart healthcare predictions with data!
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Predict the likelihood of diabetes using patient health data with machine learning. A must-have project for healthcare AI and data science portfolios!
🔍 Key Features:
✅ Predicts diabetes based on key health indicators
📊 Uses Logistic Regression, SVM, etc.
📁 Dataset preprocessing & visualization
💻 Built with Python, Pandas, scikit-learn
🔗 Download & Source Code:
👉 Diabetes Prediction – Python Project
📢 For more AI & healthcare-based projects:
🔗 https://t.me/Projectwithsourcecodes
📈 Make smart healthcare predictions with data!
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Employee Attrition Prediction System Using Machine Learning
This project is a professional web application that helps companies predict which employees might leave the organization. It uses machine learning
👨💼📉 Employee Attrition Prediction – Python Project 🐍🧠
Predict which employees are likely to leave the organization using machine learning. Ideal for HR analytics and data-driven decision making!
🔍 Key Features:
✅ Predicts employee turnover risk
📊 Uses Logistic Regression, Random Forest, etc.
📁 Includes dataset preprocessing & EDA
💻 Built with Python, Pandas, scikit-learn
🆓 100% Free with full source code
🔗 Download & Source Code:
👉 Employee Attrition Prediction – Python
📢 Explore more ML, HR, and business analytics projects:
🔗 https://t.me/Projectwithsourcecodes
📊 Help HR make smarter, data-driven decisions!
#EmployeeAttrition #HRAnalytics #MLProject #PythonMachineLearning #FinalYearProject #OpenSourceCode #DataScienceProject #projectwithsourcecodes
Predict which employees are likely to leave the organization using machine learning. Ideal for HR analytics and data-driven decision making!
🔍 Key Features:
✅ Predicts employee turnover risk
📊 Uses Logistic Regression, Random Forest, etc.
📁 Includes dataset preprocessing & EDA
💻 Built with Python, Pandas, scikit-learn
🆓 100% Free with full source code
🔗 Download & Source Code:
👉 Employee Attrition Prediction – Python
📢 Explore more ML, HR, and business analytics projects:
🔗 https://t.me/Projectwithsourcecodes
📊 Help HR make smarter, data-driven decisions!
#EmployeeAttrition #HRAnalytics #MLProject #PythonMachineLearning #FinalYearProject #OpenSourceCode #DataScienceProject #projectwithsourcecodes
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Laptop Price Prediction in Machine Learning
The Laptop Price Prediction is a smart web app that uses machine learning to guess the price of a laptop based on its specifications.
💻📈 Laptop Price Prediction – Python ML Project 🐍💡
Predict the price of a laptop based on specifications using machine learning models. A perfect project for beginners exploring regression techniques!
🔍 Key Features:
✅ Predicts prices based on RAM, CPU, GPU, etc.
📊 Built using Linear Regression, Random Forest
📁 Dataset preprocessing & model training included
💻 Developed with Python, Pandas, scikit-learn
🆓 100% Free with full source code
🔗 Download Now:
👉 Laptop Price Prediction – Python Project
📢 For more free ML & data science projects:
🔗 https://t.me/Projectwithsourcecodes
#LaptopPricePrediction #MLProject #PythonMachineLearning #DataScienceProject #RegressionModel #StudentProject #OpenSourceCode #FinalYearProject #projectwithsourcecodes
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Predict the price of a laptop based on specifications using machine learning models. A perfect project for beginners exploring regression techniques!
🔍 Key Features:
✅ Predicts prices based on RAM, CPU, GPU, etc.
📊 Built using Linear Regression, Random Forest
📁 Dataset preprocessing & model training included
💻 Developed with Python, Pandas, scikit-learn
🆓 100% Free with full source code
🔗 Download Now:
👉 Laptop Price Prediction – Python Project
📢 For more free ML & data science projects:
🔗 https://t.me/Projectwithsourcecodes
#LaptopPricePrediction #MLProject #PythonMachineLearning #DataScienceProject #RegressionModel #StudentProject #OpenSourceCode #FinalYearProject #projectwithsourcecodes
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