Overview of Kaggle on Wikipedia. Credit card fraud datasets on Kaggle. Point-biserial correlation coefficient on Wikipedia. Victoria J. Hodge and Jim Austin, “A Survey of Outlier Detection Methodologies.” Nedret Billor, Ali S. Hadi, Paul F. Velleman, “BACON: Blocked Adaptive Computationally Ef...
result.append(data[index: index + sequence_length])returnnp.asarray(result)# adapt the datasets for the sequence data shapex_train = unroll(x_train,unroll_length) x_test = unroll(x_test,unroll_length) y_train = y_train[-x_train.shape[0]:] y_test = y_test[-x_test.shape[0]:] ...
Overview of Kaggle on Wikipedia. Credit card fraud datasets on Kaggle. Point-biserial correlation coefficient on Wikipedia. Victoria J. Hodge and Jim Austin, “A Survey of Outlier Detection Methodologies.” Nedret Billor, Ali S. Hadi, Paul F. Velleman, “BACON: Blocked Adaptive Computationally Ef...
想通过比赛晋级专家,要至少获得两个铜牌,也就是拿前10%的成绩,拿Datasets,Notebooks, Discussions的专家,因为更简单一些,要求就会高一些,它们的牌子主要是靠其他用户的点赞来获取的,点赞越多,越容易拿牌子,这也是kaggle的分享氛围非常好的原因之一,天池就没有这一套系统。
[17] 课程: https://www.kaggle.com/learn/overview [18] 竞赛: https://www.kaggle.com/competitions [19] 数据集。: https://www.kaggle.com/datasets [20] 笔记本: https://www.kaggle.com/notebooks
380K high-quality public datasets. Everything from avocado prices to video game sales. Bitcoin Historical Data Usability10.0· 93 MB Bitcoin data at 1-min intervals from select exchanges, Jan 2012 to Present Fruits-360 dataset Usability8.8· 1 GB ...
from sklearn.datasets import make_blobs from sklearn.model_selection import train_test_split # 构建数据集 X, y = make_blobs(n_samples=100000) # 数据集划分 val_ratio = 0.2 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=val_ratio) ...
[1] AMEX data - integer dtypes - parquet format:https://www.kaggle.com/datasets/raddar/amex-data-integer-dtypes-parquet-format [2] AMEX-Feather-Dataset:https://www.kaggle.com/datasets/munumbutt/amexfeather, [3] Amex Competition Metric (Python):https://www.kaggle.com/code/inversion/amex-co...
Credit card fraud datasets on Kaggle. Point-biserial correlation coefficient on Wikipedia. Victoria J. Hodge and Jim Austin, “A Survey of Outlier Detection Methodologies.” Nedret Billor, Ali S. Hadi, Paul F. Velleman, “BACON: Blocked Adaptive Computationally Efficient Outlier Nominators.” ...
[Datasets Digest] Top Datasets for the Time Series Forecasting on Kaggle 🏆 (Beginners, 2023) 🌟 Electricity Consumption Dataset This dataset provides hourly electricity consumption data, allowing practitioners to explore patterns, seasonality, and trends. It's a great choice for those interested in...