The Dataset has Customers' info like Email, Address, and their color Avatar and some numerical value columns:
- Avg. Session Length: Average session of in-store style advice sessions.
- Time on App: Average time spent on App in minutes
- Time on Website: Average time spent on Website in minutes
- Length of Membership: How many years the customer has been a member.
- Import the required libraries
- Read in the Ecommerce Customers csv file as a DataFrame called customers
- Perform Exploratory Data Analysis
- Create a linear model plot (using seaborn's lmplot)
- Split the data into training and testing sets
- Train the model on training data
- Evaluate its performance by predicting the test values
- Evaluate the Model
- Explore the residuals
- Conclusion