地球资源数据云——数据资源详情
笔记本电脑价格预测
该数据集《Laptop Price Prediction》主要用于回归/预测任务，数据形态以表格为主。 题目说明：Predicting laptops prices using regression models 任务类型：表格回归/预测。 建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：laptop_data.csv。 Laptop Price Prediction This project aims to predict the prices of laptops based on their technical specifications, such as processor type, RAM size, storage capacity, brand, and other key features. Using a regression model, the project analyzes the relationship between these specifications and the corresponding laptop prices to provide accurate price predictions. Dataset Rows: 1303 (representing an individual laptop). Columns: 11 (features such as Company, Ram, GPU, and more).
摘要概览
该数据集《Laptop Price Prediction》主要用于回归/预测任务，数据形态以表格为主。 题目说明：Predicting laptops prices using regression models
任务类型：表格回归/预测。
建议流程：先做缺失值/异常值处理与特征编码，再比较逻辑回归、随机森林、XGBoost。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：laptop_data.csv。
Laptop Price Prediction This project aims to predict the prices of laptops based on their technical specifications, such as processor type, RAM size, storage capacity, brand, and other key features.
Using a regression model, the project analyzes the relationship between these specifications and the corresponding laptop prices to provide accurate price predictions.
Dataset
Rows: 1303 (representing an individual laptop).
Columns: 11 (features such as Company, Ram, GPU, and more).