Grateful_Dead424的博客

train.csv test.csv 任务目标 输入：9个小时的数据，共18项特征（AMB_TEMP, CH4, CO, NHMC, NO, NO2, NOx, O3, PM10, PM2.5, RAINFALL, RH, SO2, THC, WD_HR, WIND_DIREC, WIND_SPEED, WS_HR） 输出：第10小时的PM2.5数值 模型：线性回归 任务解答 # 丢弃前两列，需要的是从第三列开始的数值 data = data.iloc[:, 3:].

任务说明 Binary classification is one of the most fundamental problem in machine learning. In this tutorial, you are going to build linear binary classifiers to predict whether the income of an indivisual exceeds 50,000 or not. We presented a discriminative a