As a data professional working for a pharmaceutical company, you need to develop a model that predicts whether a patient will be diagnosed with diabetes. The model needs to have an accuracy score greater than 0.80. You will be required to document the following steps:
- Data Importation
- Data Exploration
- Data Cleaning
- Data Preparation
- Data Modeling (Using Decision Trees, Random Forest and Logistic Regression)
- Model Evaluation
- Hyparameter Tuning
- Findings and Recommendations