1. Preprocessed iron ore data, removed outliers, and manually engineered features to predict iron.2. Built Pipelines with Linear Regression, Ridge, Lasso, KNN, and Decision Tree models.3. Achieved 91.27% accuracy and 0.370 RMSE, validated the model using test data.

1. Encouraged doubt submissions and was a part of supportive environment for students.2. Prioritized and reviewed doubts for timely responses and provided accurate solutions.3. Delivered clear explanations with examples, resolved 250+ doubts across different subjects.