In this project, you will learn practically how to choose the best features that affect The chance of graduate admission using Data analysis & data visualization and then using these features in multi linear regression model. We will go through 4 tasks to implement our project:
Task 1: Importing libraries and Exploring the Dataset.
Task 2: Checking missing values and enhance the data for analysis.
Task 3: Creating visual methods to analyze the data.
Task 4: make linear regression model