data = [train_df, test_df] titles = {"Mr": 1, "Miss": 2, "Mrs": 3, "Master": 4, "Rare": 5} for dataset in data: # extract titles dataset['Title'] = dataset.Name.str.extract(' ([A-Za-z]+)\.', expand=False) # replace titles with a more common title or as Rare d...
Caffe，Keras等等，只要对其中1个有比较深入的了解，打Kaggle比赛基本没有任何问题。
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image = image /255.image = tf.cast(image, tf.float32)returnimage, gender# Obtain training, testing and validation datasetstrain_ds = tfds.Dataset.from_tensor_slices((train_images, train_ages, train_genders)).shuffle(2000) train_age_ds = train_ds.map(preprocess_age_data, num_parallel_call...
data-science r analytics data-visualization data-analysis kaggle-dataset dataanalytics kaggle-notebook Updated Sep 29, 2022 Jupyter Notebook Surajkumar88 / COVID19---Analysis-Interactive-Visualizations-and-Prediction Star 1 Code Issues Pull requests This repository contains codes for a case stu...
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pclass: A proxy for socio-economic status (SES) 1st = Upper 2nd = Middle 3rd = Lower age: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5 sibsp: The dataset defines family relations in this way... ...
下载地址:https://www.kaggle.com/wcukierski/enron-email-dataset Ubuntu Dialogue Corpus 描述:The new Ubuntu Dialogue Corpus consists of almost one million two-person conversations extracted from the Ubuntu chat logs, used to receive technical support for various Ubuntu-related problems. 下载地址:https...
genders = {"male": 1, "female": 0} data = [train_df, test_df] for dataset in data: ...
Visualization can reveal pathologies in the distribution of a feature or complicated relationships that could be simplified. Be sure to visualize your dataset as you work through the feature engineering process. zh版本: 理解特征含义。请参考数据集的数据文档(如果有的话) 研究问题领域以获取专业知识。