Paid Project , Project ,

Diabetes Prediction

In this project, you have to study the history data and find whether the patient has diabetes or not based upon their diagnosed measurements.

As part of this project, you will learn about:

Data loading and Exploratory data analysis
How to clean the data
How to select features in the dataset to make the model accurate
How to build models using machine learning algorithms like Logistic Regression, Lasso Regression and Ridge Regression
ROC curves and Area Under the Curve(AUC)
Model evaluation techniques using the confusion matrix, accuracy score and recall score

This projects is divided into following high level tasks which we will be performing:

Data loading and Exploratory Data Analysis
Select the features in the dataset to make our model accurate
Predict the model using different machine learning algorithms like logistic regression, Ridge regression and Lasso regression
Perform the model evaluation using the confusion matrix, precision and recall