The objective of this project is to analyze a dataset of laptop products scraped from an e-commerce website and identify the most significant factors mentioned in the product descriptions that influence the laptop prices. This will be achieved by using data analytics tools to extract insights from the dataset, allowing the e-commerce website to make informed decisions around pricing and product development, improve customer satisfaction and loyalty, stay competitive in the market, and optimize their resources.
The LPA.ipynb file containes the following sections -
- Introduction to the Problem Statement
- Data Acquisition
- Data Preparation
- Data Visualization
- Data Wrangling and Inference