Course description

In this project we will build a machine learning model using Linear Regression model. we will train and test the model using the happiness index dataset to predict the Happiness Ranking.

What will i learn?

• Understanding the problem statement.
• Understanding different libraries and their respective uses.
• In depth exploratory data analysis of each feature.
• Data cleansing and preparation.
• Creating custom functions for machine learning models.
• In depth explanation of data imputation and filling missing data.
• Defining an approach to solve ML classification problems.
• Data preparation for Machine Learning model.
• Training and testing the model using cross validation