What's included

• Comprehensive Data Analysis Report: Detailed findings from data preprocessing and analysis, including trends and patterns. Model Training and Evaluation Results: Performance metrics and comparisons of various machine learning models. Visualizations: High-quality charts and graphs illustrating key insights and model performance. Prediction Dashboard: An interactive tool or dashboard for predicting ICU admissions based on input data. Code Repository: Clean, well-documented code for data analysis, model training, and evaluation. Project Summary Presentation: Concise presentation summarizing the methodology, findings, and recommendations. Implementation Guide: Instructions for deploying the models and integrating them into existing systems.

  Data Analysis Report: Detailed insights from data preprocessing and analysis. Model Results: Performance metrics of various machine learning models. Visualizations: Charts and graphs illustrating key findings. Prediction Dashboard: Interactive tool for predicting ICU admissions. Code Repository: Well-documented code for analysis and models. Summary Presentation: Overview of methodology, findings, and recommendations. Implementation Guide: Instructions for deploying models. Consultation Session: Review deliverables and discuss next steps.