PBPatil / logistic_regression_project

Logistic regression Project

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.

What we have learned so far:

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

What we are going to do?

• 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.

What your will learn by doing this assignment ?

• 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.

Dataset

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.

By completing this task you will be earning 250 points in you training. So, GOOD LUCK!