Inspiration

Many people are tired of searching through countless laptop models and websites trying to find the best deal? Have you ever wondered if you could predict the price of a laptop before making a purchase? If so, then the "Laptop Price Predictor" project is just what you need!

What it do

We make accurate predictions on the price of a laptop in the current market to give anyone using it a rough idea on what the price of a laptop with a certain spec list could be.

How we built

In this project, we used Random Forest machine learning algorithm which is somewhat similar to decision tree to predict the price of a laptop based on various features such as brand, processor type, RAM, storage, screen size, and other factors, model has been trained on historical data from a dataset found online with more than 1000 laptop models.

Challenges we ran into

We couldn't run the model accurately when we considered weight as an attribute making trained model unusable.

Accomplishments we're proud of

We were able to make a working model with a good accuracy and precision to actual prices of laptop in real time.

What we learned

We learned about the machine learning algorithms decision tree and random forest and found that in this use case the random forest algorithm is slightly better than decision tree.

What's next

In addition to being useful, this can be experimented with different algorithms and techniques to improve the accuracy of your predictions. it can also expand the project by adding new features or integrating it with other technologies.

Built With

• python