Design a mechanism to discern whether a patient was likely to have diabetes through common trends and patterns. This was done by first conducting EDA on the sample dataset to visualize face-value trends. Afterwards, a prediction model was implemented to decide whether a patient was likely to have diabetes. Many algorithms were tested and a champion model was chosen based on efficiency and accuracy. Note: it will be very helpful to view the official report located at the Project Website under 'Data Science Capstone'.
1. Get feedback on your portfolio projects from fellow techies and makers.
2. Free 3 months subscription to Crash to pitch top companies.
3. Access Career Karma Hiring Assessment powered by Triplebyte to introduce top bootcamp students to remote friendly tech companies.
4. Portfolio Projects Masterclass Workshops.