Machine Learning-Based Water Potability Prediction - data validation and evaluation
Performed preprocessing, feature engineering, and data validation for a machine learning-based water potability prediction project. Evaluated structured dataset quality to ensure reliable model training inputs. Conducted model evaluation with emphasis on confirming data correctness and performance. • Validated structured inputs and checked data integrity before training. • Applied feature engineering for improved model readiness. • Evaluated model performance using appropriate evaluation steps. • Ensured data cleaning and validation supported downstream prediction quality.