Prediction of diabetes using logistic regression
Implementing logistic regression in python
After applying normalization and cleaning outliers, training starts
Considered 85% (654 sample)of the data for training and 15%(116) for testing
After training 654 samples with 8 features, the accuracy was almost equal to 80%
You can online enter new sample in terminal and get the predicted answer instantly