Diabetes_prdiction

importing the required packages

• Reading the data
• Checking for duplicated values and removing the records if it presents in dataset
• Checking for null values or missing values

Treating the outliers

• Checking for outliers by using the boxplot
• Imputing the IQR Range values
• Replacing the outliers with upper bound ,lower bound

Model Building

• Deviding the data set into train set and test set
• Training the algorithm with train data and test performance
• Testing the model with test data and measure the metrics
• Creating model using pickle module

App Development

• Create application using streaamlit