Machine Learning Prediction Model (classification)
Built and evaluated an ML classification model as a programming project. The work involved preparing features, selecting model settings, and measuring accuracy on a labeled dataset (classification targets). Findings were used to refine the model through feature engineering and tuning. • Classification model development in Python • Feature engineering for labeled examples • Hyperparameter/model tuning • Accuracy evaluation (87%)