Machine Learning Classification Project
OtherClassification
I built and trained a supervised learning model to classify tabular data. The project involved cleaning, feature scaling, and applying cross-validation as part of model evaluation. Data labeling was done through assigning class labels to records for training and testing sets. • Built a dataset from open data sources and defined class categories
• Preprocessed and labeled data for ML algorithm consumption
• Evaluated performance using accuracy and F1-score metrics
• Utilized Python and Scikit-Learn for labeling and modeling workflows
I built and trained a supervised learning model to classify tabular data. The project involved cleaning, feature scaling, and applying cross-validation as part of model evaluation. Data labeling was done through assigning class labels to records for training and testing sets. • Built a dataset from open data sources and defined class categories • Preprocessed and labeled data for ML algorithm consumption • Evaluated performance using accuracy and F1-score metrics • Utilized Python and Scikit-Learn for labeling and modeling workflows
2024 - Present