With extensive experience in Python-based data science and classification models, I am well-equipped to assist with your liver disease prediction project. I have a deep understanding of classification algorithms, feature engineering, and handling complex healthcare data, including working with biological and biochemical markers. For a multi-class problem like this, I’ll explore several classification techniques, such as Random Forest, SVM, and Gradient Boosting, to identify the most accurate model for predicting liver disease stages.
Leveraging NumPy, Pandas, and data visualization tools, I can provide a comprehensive exploratory data analysis to uncover trends and insights in your dataset. My process will involve rigorous data preprocessing to handle any missing values, outliers, or transformations required for optimal model performance. Further, I’ll ensure interpretable results by visualizing the relationships between variables and disease categories, presenting findings in a format that can support clinical decision-making.
Let's connect to discuss how my expertise can support your project goals and deliver accurate, actionable insights.
Best regards,
Ahmad