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Laptop Price Prediction Dataset
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About
This dataset, titled Laptop Prices, presents a collection of features pertaining to various laptops, including details such as brand, processor type, RAM, storage capacity, and other technical specifications. It also incorporates the corresponding prices for these laptops. This dataset is particularly suitable for regression analysis, allowing users to build models to predict laptop prices based on their given features.
Columns
The dataset comprises 19 distinct columns, each detailing a specific laptop attribute:
- brand: The manufacturer or company of the laptop.
- processor_brand: The brand of the laptop's processor, such as Intel or AMD.
- processor_name: The specific name of the processor, for instance, Core i5 or Core i3.
- processor_gnrtn: The generation of the processor.
- ram_gb: The size of the RAM in gigabytes (GB).
- ram_type: The type of RAM technology, such as DDR4 or LPDDR4X.
- ssd: The size of the Solid State Drive (SSD) in gigabytes (GB).
- hdd: The size of the Hard Disk Drive (HDD) in gigabytes (GB).
- os: The operating system type installed on the laptop, e.g., Windows or Mac.
- os_bit: The bit version of the operating system (e.g., 64-bit or 32-bit).
- graphic_card_gb: The size of the graphic card's memory in gigabytes (GB).
- weight: A categorisation of the laptop's weight, such as 'Casual' or 'ThinNlight'.
- warranty: Information regarding the warranty period.
- Touchscreen: A boolean indicator specifying if the laptop has a touchscreen.
- msoffice: A boolean indicator specifying if Microsoft Office is pre-installed.
- Price: The price of the laptop, denominated in Indian Rupees.
- rating: The star rating given to the laptop.
- Number of Ratings: The total count of ratings received for the laptop.
- Number of Reviews: The total count of reviews received for the laptop.
Distribution
The dataset is provided in a CSV file format, specifically named
laptopPrice.csv. It has a size of approximately 93.01 kB and consists of 19 columns with 823 valid records across most fields.Usage
This dataset is an ideal resource for regression analysis, specifically for developing models to predict laptop prices based on their various specifications and features. It is well-suited for those engaged in machine learning applications, price forecasting, and market analysis within the electronics sector.
Coverage
The prices included in this dataset are denominated in Indian Rupees, indicating a focus on the Indian market. The dataset does not specify a particular time range or demographic scope.
License
CC0: Public Domain
Who Can Use It
This dataset is primarily intended for data scientists, machine learning enthusiasts, and researchers. It is particularly valuable for individuals looking to construct and test regression models aimed at forecasting laptop prices.
Dataset Name Suggestions
- Laptop Price Prediction Dataset
- Laptop Specifications and Pricing
- Laptop Pricing Model Dataset
- Indian Laptop Market Data
Attributes
Original Data Source: Laptop Price Prediction Dataset
QUALITY