地球资源数据云——数据资源详情
有氧健身 - 数据可视化
该数据集《Cardio Fitness - Data Visualization》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Beginners guide to Fitness Analytics - Case Study #1 任务类型：表格监督学习。 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：CardioGoodFitness.csv。 Preliminary Data Analysis. Explore the dataset and practice extracting basic observations about the data. The idea is for you to get comfortable working in Python. You are expected to do the following : Q - Come up with a customer profile (characteristics of a customer) of the different products Q - Perform uni - variate and multi - variate analyses Q - Generate a set of insights and recommendations that will help the company in targeting new customers Explore the dataset to identify differences between customers of each product. You can also explore relationships between the different attributes of customers. You can approach it from any other line of questioning that you feel could be relevant for the business.
摘要概览
该数据集《Cardio Fitness - Data Visualization》主要用于监督学习任务，数据形态以表格为主，应用场景偏向交通/汽车。 题目说明：Beginners guide to Fitness Analytics - Case Study #1
任务类型：表格监督学习。
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：CardioGoodFitness.csv。
Preliminary Data Analysis. Explore the dataset and practice extracting basic observations about the data. The idea is for you to get comfortable working in Python.
You are expected to do the following :
Q - Come up with a customer profile (characteristics of a customer) of the different products Q - Perform uni - variate and multi - variate analyses Q - Generate a set of insights and recommendations that will help the company in targeting new customers
Explore the dataset to identify differences between customers of each product. You can also explore relationships between the different attributes of customers. You can approach it from any other line of questioning that you feel could be relevant for the business.