Placement Prediction Classifier Model
Collecting and processing real-time data from my institute was challenging but rewarding. Unlike pre-processed Kaggle data, it required extensive exploration and fine-tuning to identify key predictors. I learned a lot about advanced scaling methods and detailed data processing. For modeling, I chose XGBoost and used K-Fold cross-validation with grid search to ensure accurate results. The prototype allows users to adjust parameters and analyze model performance.
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