How to build machine learning models with Databricks?

Databricks is a business software startup that provides Data Engineering tools for processing and transforming massive amounts of data to develop machine learning models. Traditional Big Data procedures are not only slow to complete jobs but also take more time to build up Hadoop clusters. However, Databricks is built on top of distributed Cloud computing infrastructures like Azure, AWS, or Google Cloud, which allow programmes to execute on CPUs or GPUs according to analytical needs. In this article, we will be learning about building a machine learning model in Databricks. Following are the topics to be covered. In this article, we will be building a multivariate linear regression model for predicting the charges on insurance offered by the company based on different features.