Table of contents

1. Introduction
   
2. Imports
   
3. Data Acquisition
   3.1 Scraping Challanges
   3.2 Util Functions
   3.3 Scraping Process
   3.4 Crawling
   3.5 Data Scraped
   
4. Data Cleaning
   4.1 Data NA to Real NA
   4.2 Cleaning and Converting
   4.3 Converting to Categorical
   4.4 Removing Duplicates
   4.5 Filling in missing values
   
5. EDA
   5.1 Numeric fields Correlation to Price
   5.2 Ram Capacity distribution
   5.3 Brands Distribution
   5.4 Mean price by brand
   5.5 Screen size distribution
   5.6 Mean price by screen size
   5.7 Mean price by GPU
   5.8 Mean price by GPU
   
6. Machine Learning
   6.1 Classification
   6.2 Helper Functions
   6.3 Predictions
   
7. Conclusion