Academic AI Model Evaluation and Data Analysis
I evaluated machine learning model outputs as part of academic assignments focused on AI and data analysis. Tasks included implementing classification algorithms and assessing models such as K-Nearest Neighbors and Decision Trees using labeled datasets. Basic data analysis with Python and NumPy was performed for model evaluation. • Applied distance calculation techniques for KNN evaluation. • Calculated entropy and information gain for Decision Tree evaluation. • Worked with academic datasets for hands-on evaluation tasks. • Followed structured evaluation procedures and AI best practices.