Supervised Learning Example: Predicting House Prices with Linear Regression
Supervised learning is a machine learning technique where the model is trained on labeled data. This means that each training example is paired with an output label. One of the most common algorithms used in supervised learning is Linear Regression. Let's look at an example of how Linear Regression can be used to predict house prices. Problem Statement We want to predict the price of a house based on its size (in square feet). We have a dataset with historical data of house sizes and their corresponding prices. Sample Data Here's a small sample of the dataset: House Size (sq ft) Price ($) 850 200,000 900 220,000 1000 240,000 1200 280,000 1500 320,000 Step-by-Step Solution Load the Data : Import the necessary libraries and load the dataset. Visualize the Data : Plot the data to understand the relationship between house size and price. Train the Model : Use Linear Regression to train a model on the data. Make Predictions : Use the trained model to predict prices for new house siz...