for dataset in [train_df]: dataset['Relatives'] = dataset['SibSp'] + dataset['Parch'] axes = sns.factorplot('Relatives','Survived', data=train_df, aspect = 2.5) 有1-3个亲戚在船上,幸存率相对更高。 清洗数据 在11个特征中找出可用的,每一个特征先填充空缺值(如有),并完成分类。 1、年...
绝大多数课堂上用的还是只有几百个几千个数据的UCI dataset。Kaggle是缩小这个gap最好的一个地方。
'duplicate rows of the dataset: ',df[df.duplicated()])else:print('There is no duplicate row ...
For training projects, start from basic projects like flower classification or house prices prediction, you can find the dataset on kaggle.Ravi Ramakrishnan Posted a year ago arrow_drop_up4 more_vert @samolkin my recent posts in this regard may help you- https://www.kaggle.com/competitions/...
As with most questions in data science, it depends on the dataset you are working with. For tabular datasets, pandas has all the tools one would need to visualize your dataset. However, BI tools like Power BI and Qlik Sense provide "low code" and drag-and-drop functionality, making them...
I personally suggested Power BI. But if you know python Please go with Seaborn and Matplotlib which will help to understand the Dataset clearly using the Statistics(Graphs)Bala Vashan Posted 3 years ago arrow_drop_up1 more_vert my personal suggestion is Tableau @alikashif1994 Suddharshan S Po...