Welcome! This is new project and new tasks at hand.

This is Logistic Regression Project

We are going to do task to strengthen whatever we learned in class of Logistic Regression.

• Why Logistic Regression and What is Logistic Regression?
• Hypertuning Parameter
• Gradient Descent
• Evaluation metrics of Logistic Regression

• You have above data-set. You need to clean this data first.
• After cleaning, you will create a logistic regression model and fit that model on the data.

• You will learn and perform the preprocessing steps in efficient way and moreover it will give you an idea as to which steps to inculcate while doing preprocessing.
• You will learn the importance of scaling and what effect it has on the model.
• You will learn to build logistic regression model.

To perform Logistic Regression task we will use Loan Prediction dataset.

This dataset contains following features:

• ApplicantIncome
• CoapplicantIncome
• Loan Amount
• Loan Amount term
• Credit History
• Property_Area
• Self_Employed
• Education
• Dependents
• Married
• Gender
• Loan_ID

Target Variable:

• Loan Status

Details information is mentioned in each task.