Add a description, image, and links to the machine-learning-datasets topic page so that developers can more easily learn about it. Curate this topic Add this topic to your repo To associate your repository with the machine-learning-datasets topic, visit your repo's landing page and select...
In any case, be intentional in your search for data; a machine learning project can be easily derailed through the usage of poor quality data. Why Off-the-Shelf Datasets? Your team may end up deciding that you want to use off-the-shelf datasets to train your model. These options are ...
Scikit-learn官网:http://scikit-learn.org/stable/index.html Datasets 标准的数据集格式为一组多维特征向量组成的集合。数据集的标准形状(shape)为二维数组(samples, features),其中samples表示数据集大小,features表示其中特征向量的维数。 使用时可使用shape方法查看数据集 >>>fromsklearnimportdatasets>>> iris =da...
Machine learning models are only as good as the data they are trained on. Therefore, obtaining good quality and relevant datasets is a critical step in the machine learning process. There are many open-source repositories, like Kaggle, from where you can download datasets. You can even ...
Link:https://www.paperswithcode.com/datasets 3,095 machine learning datasets and links to original paper if applicable Contains number of papers that used the dataset Compiles benchmark information and links to the benchmark sources Penn Machine Learning Benchmarks – Clean, tabular datasets ...
—Wikipedia’s list of Machine Learning datasets —Quora.com question —Datasets subreddit 这一章我们将使用来自 StatLib 仓库的 California 房屋价格数据集(如下图所示)。这份数据集来自 1990 年的普查统计。这份数据集虽然年代有点久了,但不妨碍我们使用。我们已经对该数据集进行了一些处理,便于学习。
Learn how to export data labels from your Azure Machine Learning labeling projects and use them for machine learning tasks.
《Awesome Public Datasets》 介绍: Awesome系列中的公开数据集 《Search Engine & Community》 介绍: 一个学术搜索引擎 《spaCy》 介绍: 用Python和Cython写的工业级自然语言处理库,号称是速度最快的NLP库,快的原因一是用Cython写的,二是用了个很巧妙的hash技术,加速系统的瓶颈,NLP中稀松特征的存取 《Collabo...
Learn how to version machine learning datasets and how versioning works with machine learning pipelines.
In this tutorial, we'll show how to achieve high-quality data and improve our machine learning classification results.