AI实战-出租车价格数据集分析预测实例（含20个源代码+65.69 KB完整的数据集） 代码手工整理，无语法错误，可运行。 包括：20个代码，共124.23 KB；数据大小：1个文件共65.69 KB。 使用到的模块： pandas seaborn xgboost matplotlib.pyplot sklearn.preprocessing.RobustScaler sklearn.metrics.mean_absolute_error sklearn.model_selection.GridSearchCV sklearn.model_selection.train_test_split numpy warnings joblib sklearn.set_config sklearn.impute.SimpleImputer sklearn.preprocessing.LabelEncoder sklearn.model_selection.cross_val_score sklearn.preprocessing.StandardScaler sklearn.metrics.r2_score sklearn.metrics.mean_squared_error sklearn.linear_model.LinearRegression sklearn.linear_model.Lasso sklearn.linear_model.Ridge sklearn.neighbors.KNeighborsRegressor sklearn.ensemble.RandomForestRegressor sklearn.ensemble.GradientBoostingRegressor os sklearn.preprocessing.oneHotEncoder sklearn.compose.ColumnTransformer sklearn.pipeline.Pipeline sklearn.tree.DecisionTreeRegressor sklearn.svm.SVR sklearn.neural_network.MLPRegressor bokeh.io.output_notebook bokeh.io.show bokeh.plotting.figure bokeh.layouts.gridplot sklearn.preprocessing.PolynomialFeatures scipy.stats sklearn.metrics.mean_absolute_percentage_error sklearn.ensemble.ExtraTreesRegressor xgboost.XGBRegressor lightgbm.LGBMRegressor sklearn.impute.IterativeImputer statsmodels.stats.outliers_influence.variance_inflation_factor statsmodels.api sklearn.metrics.( plotly.express psynlig.plot_correlation_heatmap bokeh.plotting.show bokeh.plotting.output_notebook catboost.CatBoostRegressor sklearn.linear_model.ElasticNet    以上就是本篇文章【手机html端 悬浮球_红米10X手机怎么截屏三星手机如何截屏截图「手机html端 悬浮球_红米10X手机怎么截屏」】的全部内容了，欢迎阅览 ！ 文章地址：http://www.razcy.com/quote/13196.html 
     行业      资讯      企业新闻      行情      企业黄页      同类资讯      网站地图      返回首页 月落星辰移动站 http://m.razcy.com/ , 查看更多