Diabetes-Prediction
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Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation applied
Diabetes Prediction Using Machine Learning
Objective
Techniques Used
- Data Cleaning
- Data Visualization
- Machine Learning Modeling
Algortihms Used
- Logistic Regression
- Support Vector Machine
- KNN
- Random Forest Classifier
- Naivye Bayes
- Gradient Boosting
Model Evaluation Methods Used
- Accuracy Score
- ROC AUC Curve
- Cross Validation
- Confusion Matrix
Guide Lines
Packages and Tools Required:
Pandas
Matplotlib
Seaborn
Scikit Learn
Jupyter Notebook
Package Installation
pip install numpy
pip install pandas
pip install seaborn
pip install scikit-learn
pip install matplotlib
Jupyter Notebook Installation Guide https://jupyter.org/install