Scope
multi-dataset experiments
Data Mining & Machine Learning Portfolio
Portfolio of data mining and supervised learning experiments covering preprocessing, feature engineering, and predictive modeling.
Pythonscikit-learnPandasData AnalysisSupervised Learning
Focus
end-to-end ML workflow
Project Overview
Collection of practical ML workflows focused on data cleaning, feature selection, model training, and comparative evaluation.
Challenge
Real-world datasets require robust preprocessing and feature engineering before reliable prediction is possible.
Solution
Built repeatable workflows for cleaning, feature analysis, supervised model training, and evaluation across multiple problem types.
Results
Delivered reproducible experiments and practical insights into model behavior, trade-offs, and evaluation-driven iteration.