E-Commerce-Customers-Project

Problem

An E-Commerce company based in Iowa that sells clothing online but they also have in-store style and clothing advice sessions. Customers come in to the store, have sessions/meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want.

The company is trying to decide whether to focus their efforts on their mobile app experience or their website.

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Data Info:

The dataset is downloaded from the Kaggle. Also the dataset is attached in the Repository.(link)

Working with the Ecommerce Customers csv file from the company. It has total 8 columns - Customer info such as Email, Address, and their color Avatar. Then it also has 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 ?
• Yearly Amount Spent: How much amount the customer have spent ?

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Contents:

1. Importing the required libraries
2. Reading the dataset
3. Exploratory Data Analysis (EDA)
4. Visualizing Data using Seaborn library
5. Data Modeling
   • Separating the data into features and target variable.
   • Splitting the data into training and test sets.
   • Implementing the Linear Regression Model.
   • Evaluating the prediction scores.
   • Visualizing the results
6. Evaluating the model accuracy.