Data analysis
تفاصيل العمل
The project even created a user friendly dashboard where doctors and analysts can explore visualizations, run predictions on new patients, and see clustering results all without needing to understand complex code. Starting Point: The team gathered data from 100,000 patients real people with real health records including age, weight, blood sugar levels, HbA1c (a diabetes marker), blood pressure, and lifestyle factors like smoking history. Cleaning House: Before diving into predictions, they did the unglamorous but essential work removing duplicate records, checking for missing information, and identifying extreme outliers (like ages or measurements that didn't make sense).
مهارات العمل
