Linear Regression is a method or approach for Supervised Learning.Supervised Learning takes the historical or past data and then train the model and predict the things according to the past results.Linear Regression comes from the word ‘Linear’ and ‘Regression’.Regression concept deals with predicting the future using the past data.Linear means the able to represented by a straight line on graph.Linear Regression has two things one independent variable and other dependent variable and Linear Regression is a relationship between the two.
In this article, we are going to learn about how we can implement Linear Regression with the help of Turicreate. Turicreate is Library in Python which helps the beginners to learn and implement Machine Learning Algorithm easily as well as efficiently.
Step 2: Reading the datasets.
Link for the data is=https://www.kaggle.com/mirichoi0218/insurance
Step 3: Exploring the data
Step 4: Make a Linear Regression model .
Step 5: Now evaluate the model
Step 6: Now predicting the charges according to the B.M.I of person
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