Laptop Price Prediction

✨ 💻 ✨

Project Description

• In this project, a supervised machine learning model is built to predict tentative laptop price based on its specifications.
• This model is trained on dataset which is taken from kaggle.
• The dataset contains laptop specifications and corresponding prices.
• The description of this dataset is as following:

Dataset Description

Column name	Description
Company	Laptop manufcturing company names
TypeName	Type of laptop (Notebook, Ultrabook, 2in1, etc.)
Inches	Laptop screen size in inches
ScreenResolution	Screen resolutions with screen display type
Cpu	CPU name with speed in GHz
Ram	RAM size of laptop in GB
Memory	Memory type and size of memory in GB and TB
Gpu	GPU name with their series
OpSys	Operating System of laptop
Weight	Weight of laptop in kg
Price	Laptop price in ( ₹ ) Indian Rupee

• Scikit-learn library is used to build the machine learning model.
• Streamlit is used to make a web application that allows users to select the laptop specifications and user gets tentative price of the laptop.

Prerequisites

• numpy
• pandas
• matplotlib
• seaborn
• scikit-learn
• pickle
• streamlit

Steps to build machine learning model

1. Data preprocessing
2. EDA
3. Algorithm selection
4. Training
5. Evaluation
6. Prediction

Screenshots

• Use the Command Prompt to open the Streamlit app in a browser:

• Menu:

• Preprocessed Data:

• Price for the default options chosen:

• Choosing options for price prediction:

Author

Nehal Gund

• Profile
• Linkedin
• Kaggle
• Gmail: gundnehal@gmail.com

🤝 Support

Contributions and issues requests are welcome!

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