AI实战-波士顿郊区房屋价值评估数据分析预测实例（含20个源代码+34.64 KB完整的数据集）.zip

AI实战-波士顿郊区房屋价值评估数据分析预测实例（含20个源代码+34.64 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73.58 KB；数据大小：1个文件共34.64 KB。 使用到的模块： pandas numpy seaborn matplotlib.pyplot matplotlib sklearn.model_selection.train_test_split sklearn.linear_model.Lasso sklearn.linear_model.Ridge sklearn.linear_model.LinearRegression sklearn.tree.DecisionTreeRegressor sklearn.model_selection.GridSearchCV sklearn.metrics.mean_absolute_error sklearn.model_selection.KFold sklearn.model_selection.ShuffleSplit sklearn.model_selection.cross_val_score ipywidgets.widgets IPython.display.display warnings sklearn.ensemble.RandomForestRegressor sklearn.preprocessing.StandardScaler sklearn.impute.SimpleImputer sklearn.preprocessing.LabelEncoder sklearn.preprocessing.OneHotEncoder sklearn.compose.ColumnTransformer sklearn.pipeline.Pipeline xgboost.XGBRegressor os sklearn.model_selection.StratifiedShuffleSplit pandas.plotting.scatter_matrix sklearn.metrics.mean_squared_error joblib.dump sklearn.metrics.r2_score scipy.stats statsmodels.api h2o h2o.estimators.gbm.H2OGradientBoostingEstimator h2o.grid.grid_search.H2OGridSearch imblearn.over_sampling.SMOTE pickle json sklearn.model_selection.RandomizedSearchCV sklearn.preprocessing.MinMaxScaler faker.Faker sklearn.metrics