🌟 Intern Performance Prediction Using Machine Learning 🌟 Using Python, Pandas, and Scikit-learn, I built a predictive model to estimate performance probability. Created 10+ colorful visualizations to explore key factors like feedback and consistency. Achieved 90%+ accuracy with Random Forest, revealing insights for personalized mentorship.

📊 Predict intern performance using machine learning to guide mentorship, enhance training, and improve outcomes based on data-driven insights.

I just deployed an end-to-end Machine Learning web app that predicts whether a breast tumor is Malignant or Benign with 94-96% accuracy! Instead of forcing users to input 30 complicated medical values, I optimized the model down to the top 5 core features (like size and texture). This made the app fast and simple to use without losing accuracy.