Data from Kaggle may not always be in a ready-to-use format. Depending on your research goals, you may need to clean and preprocess the data. This can include handling missing values, encoding categorical variables, and scaling features. Tools like Python’s pandas and scikit-learn can be ...
Kaggle.com frequently has datamining challenges. The datasets cover a wide range of fienlds: healthcare provider data to credit history information. Perhaps something there is what you're after. Share Follow answered Apr 27, 2012 at 18:31 community wiki Rishi Add a comment 1 http://...
It's possible something is going wrong with relative paths (although I thought I had fixed all of those issues). Try cd D:\kaggle\PredictFutureSales\data and running the command from there. Make sure that test.csv is in the same directory as dataset-metadata.json. KamleshJethwani commented ...
kaggle:https://www.kaggle.com 天池:https://tianchi.aliyun.com/dataset 飞桨:https://aistudio.baidu.com/aistudio/datasetoverview 讯飞:http://challenge.xfyun.cn/ 搜狗实验室:http://www.sogou.com/labs/resource/list_pingce.php DC竞赛:https://www.pkb...
from sklearn import datasets # 导入库 iris = datasets.load_iris() # 导入鸢尾花数据 print(iris.data.shape,iris.target.shape) # (150, 4) (150,) print(iris.feature_names) # [花萼长,花萼宽,花瓣长,花瓣宽] 还可以在sklearn\datasets_base.py文件中查看信息:3类,每类50个,共150个样本,...
I'm a newbie trying to make this PyTorch CNN work with the Cats&Dogs dataset from kaggle. As there are no targets for the test images, I manually classified some of the test images and put the class in the filename, to be able to test (maybe should have just used some of the trai...
from sklearn.datasets import fetch_openml mice = fetch_openml(name='miceprotein', version=4) print(mice.DESCR) # 查看详情 1. 2. 3. 4. 5.4 从外部加载的数据 建议除了玩具数据集和生成数据集以外,都在网上下载后用pandas导入。 kaggle:https://www.kaggle.com ...
Added .rds versions and more datasets from ISLR, kernlab etc 9年前 BreastCancer.csv adding binary datasets 9年前 BreastCancer.rds Added .rds versions and more datasets from ISLR, kernlab etc 9年前 CNAE9.csv (CNAE-9) Source:https://archive.ics.uci.edu/ml/datasets/CNAE-9 ...
最受欢迎的来源之一是 Kaggle,我相信我们每个人都必须在我们的数据旅程中使用它。 最近,我遇到了一个新的来源来为我的 NLP 项目获取数据,我很想谈谈它。这是 Hugging Face 的数据集库,一个快速高效的库,可以轻松共享和加载数据集和评估指标。因此,如果您从事自然语言理解 (NLP) 工作并希望为下一个项目提供数据...
Although several researchers have employed ensemble techniques for disease prediction, a comprehensive comparative study of these techniques still needs to be provided.#Using 16 disease datasets from Kaggle and the UCI Machine Learning Repository, this study compares the performance of 15 variants of ...