Welcome to the Diabetes Prediction Model repository! This project contains a machine learning model designed to predict the likelihood of an individual having diabetes based on various health-related features.
- Data Analysis: Perform exploratory data analysis (EDA) on the diabetes dataset to gain insights and understand the data.
- Feature Engineering: Extract relevant features from the dataset and preprocess them to prepare the data for training the prediction model.
- Model Training: Train a machine learning model using the preprocessed data to predict diabetes probabilities.
- Model Evaluation: Evaluate the performance of the trained model using various evaluation metrics to assess its accuracy and effectiveness.
- Programming Language: Python 🐍
- Machine Learning Libraries: scikit-learn 🧠
- Data Analysis and Visualization: Pandas, Numpy, Matplotlib 📊
- **Model Used **: Logistic Regression, KNN and SVM Model 🌐
Contributions are welcome! If you have any suggestions, improvements, or bug fixes, please open an issue or submit a pull request.
This project is licensed under the MIT License.
Feel free to use and modify the code according to your needs. If you have any questions or need further assistance, feel free to reach out!
Happy predicting! 🩺💪