
AI实战-学生生活方式模式数据集分析预测实例(含24个源代码+69.54 KB完整的数据集)
代码手工整理,无语法错误,可运行。
包括:24个代码,共149.89 KB;数据大小:1个文件共69.54 KB。
使用到的模块:
pandas
os
matplotlib.pyplot
seaborn
plotly.express
warnings
sklearn.model_selection.StratifiedShuffleSplit
sklearn.pipeline.Pipeline
sklearn.compose.ColumnTransformer
sklearn.impute.SimpleImputer
sklearn.preprocessing.OrdinalEncoder
numpy
sklearn.model_selection.cross_val_score
sklearn.linear_model.LinearRegression
sklearn.metrics.mean_squared_error
sklearn.tree.DecisionTreeRegressor
sklearn.ensemble.RandomForestRegressor
sklearn.model_selection.train_test_split
sklearn.preprocessing.PowerTransformer
imblearn.pipeline.Pipeline
imblearn.over_sampling.OTE
sklearn.ensemble.AdaBoostClassifier
sklearn.metrics.accuracy_score
sklearn.metrics.precision_score
sklearn.metrics.recall_score
sklearn.metrics.f1_score
optuna
scipy.stats
torch
torch.nn
torchvision.transforms
torchvision.models
torch.optim
cv2
glob
glob.glob
torch.utils.data.DataLoader
torch.utils.data.Dataset
random.shuffle
torch.utils.data.random_split
torchsummary.summary
matplotlib.ticker
pyspark.sql.SparkSession
pyspark.sql.functions.count
pyspark.sql.functions.max
pyspark.sql.functions.min
pyspark.sql.functions.avg
pyspark.sql.functions.stddev_samp
pyspark.sql.functions.skewness
pyspark.sql.functions.kurtosis
pyspark.sql.functions
pyspark.ml.feature.Tokenizer
pyspark.ml.feature.VectorAssembler
sklearn.preprocessing.LabelEncoder
keras.models.Sequential
keras.layers.Dense
keras.utils.to_categorical
ptitprince
statodels.distributions.empirical_distribution.ECDF
statodels.stats.outliers_influence.variance_inflation_factor
ppscore
sklearn.feature_selection.mutual_info_classif
sklearn.decomposition.PCA
sklearn.model_selection.StratifiedKFold
sklearn.tree.DecisionTreeClassifier
sklearn.metrics.balanced_accuracy_score
sklearn.metrics.confusion_matrix
mlxtend.plotting.plot_confusion_matrix
scipy.stats.pearsonr
scipy.stats.f_oneway
sklearn.feature_selection.mutual_info_regression
有话要说...