🤝 Student Exam Performance Prediction – Data Science / ML
A machine learning project that predicts how students are likely to perform in their exams based on past data, study hours, demographics, etc.
Key Features
• Data preprocessing: handle missing values, normalization, encoding categorical variables
• Feature selection to identify major factors affecting performance
• Model training: regression/classification models like Random Forest, Decision Trees, or Logistic Regression
• Evaluation metrics: accuracy, precision, recall, F1-score, possibly confusion matrix
• Prediction interface: input student details → output expected performance
🔗 Explore the full project here:
Student Exam Performance Prediction – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#DataScience #MachineLearning #StudentPerformance #PredictiveAnalytics #MLProject #Python #Pandas #ScikitLearn #EducationData #ProjectShowcase
A machine learning project that predicts how students are likely to perform in their exams based on past data, study hours, demographics, etc.
Key Features
• Data preprocessing: handle missing values, normalization, encoding categorical variables
• Feature selection to identify major factors affecting performance
• Model training: regression/classification models like Random Forest, Decision Trees, or Logistic Regression
• Evaluation metrics: accuracy, precision, recall, F1-score, possibly confusion matrix
• Prediction interface: input student details → output expected performance
🔗 Explore the full project here:
Student Exam Performance Prediction – View Project
📢 Discover more projects:
https://t.me/Projectwithsourcecodes
#DataScience #MachineLearning #StudentPerformance #PredictiveAnalytics #MLProject #Python #Pandas #ScikitLearn #EducationData #ProjectShowcase