DS：数据科学项目模型的回购
数据科学
项目1：足球运动员的评分（ ）
使用来自欧洲足球数据库的数据并建立了回归模型，以基于各种属性预测足球运动员的整体评分。
使用Flask构建了基本的API，并将其部署到GCP，Herolu和Pivotal云平台中。
项目2：预测一个人每年的收入是否超过5万（ ）
建立了几个分类模型，以预测一个人每年从经典成人数据集中赚取的收入是否超过5万。
建立了KNN，决策树，随机森林和XGBoost模型，并通过比较各自的AUC和准确性得分，比较了哪一种最适合数据集。
项目3：Zomato_EDA（ ）
是否在Zomato印度餐厅数据集上进行了广泛的EDA分析。
zomato探索性数据分析旨在为美食家找到最佳的餐馆，并在他们所在的地区物有所值。 它还有助于在当地找到所需的美食。
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