The used car market plays a vital role in the automotive industry, offering a variety of vehicles at different price points.

This dataset provides a snapshot of used car listings with key attributes such as model, year, fuel type and more.

These factors contribute significantly to the price of a used car.

Problem Statement

⊳ To develop a Machine Learning Model that can accurately predict the price of used cars based on various features and attributes.

⊳ The predicted price will assist both buyers and sellers in making informed decisions, ensuring fair transactions in the used car market.

Netflix has become a major player in the entertainment industry offering a diverse array of TV Shows and Movies to its global audience.

This dataset provides a snapshot of Netflix's content library including various attributes such as titles, genres, release years, ratings and durations.

Problem Statement

⊳ To gain insights into the content available on Netflix, understanding the patterns to uncover valuable insights into how the platform evolves its offerings.

Grocery Stores are a vital part of everyday life providing us with the food and essentials as we need.

People often uses grocery delivery applications to order their products, making it easy to shop from home.

Each transaction made through these applications is recorded in detail creating a valuable dataset.

This project looks at a same data of a supermarket transactions to understand how well it is performing.

Problem Statement

⊳ To gain insights into Supermarket Sales Performance, identifying key factors influencing customer purchasing behavior and product performance.