What's included

• Predictive models

  Deploy machine learning models capable of forecasting outcomes or identifying patterns in future data.

• Performance metrics

  Evaluation metrics such as accuracy, precision, recall, and F1-score for assessing model performance.

• Data visualization dashboards

  Interactive visual representations of data insights for easy interpretation and decision-making.

• Comprehensive analysis report

  Summarize findings, insights, and recommendations derived from data analysis.

• Codebase and documentation

  Well-organized and documented codebase outlining data processing, analysis, and model implementation steps.

• Presentation or demo

  Client-facing presentation or demo showcasing project methodology, results, and potential business implications.