Linear regression example
In this example, we will create a linear regression model to predict the value of a house in the California area. Let’s begin by getting familiar with the dataset. We will use a common California house values dataset. This is a collection of data related to residential real estate properties in various regions of California, USA. It is commonly used in machine learning and data analysis tasks for predicting house prices based on various features.
The dataset we will use contains the following fields:
medianIncome
: The median income of households in a specific block.housingMedianAge
: The median age of houses in a block.totalRooms
: The total number of rooms in the houses in a block.totalBedrooms
: The total number of bedrooms in the houses in a block.population
: The total population of the block.households
: The total number of households (a group of people residing within a home unit) within a block.latitude
: The...