Model optimization and Hyperparameter Tuning

[snehakumari55]

Optimizing SVM Parameters: Since we aim to use an SVM model, we could contribute by designing a robust hyperparameter tuning strategy using grid search, random search, or Bayesian optimization to reach higher accuracy.

Implementing Advanced Models: Beyond SVM, we might add models like (e.g., Random Forests or Gradient Boosting) or even deep learning models like CNNs, which can improve predictive accuracy if data is adequate.