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_co
nfig
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.o
neHotEncoder
sklearn.compose.ColumnTransformer
sklearn.pipeline.Pipeline
sklearn.tree.Decisio
nTreeRegressor
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
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