To be able to follow through this exercise, you need an AWS account, Kaggle account (to download the data set), Amazon Redshift cluster, and SQL client. If you don’t already have an Amazon Redshift cluster, you can get a two-month free trial for a dw2.large sing...
This data source is publically available as the Global Superstore data set on Kaggle. The AWS services you use in this tutorial are AWS Free Tier eligible. About this Tutorial Time 30 minutes Cost AWS Free Tier Eligible Use Case Analytics Products Amazon QuickSight Audience Devel...
基于50万亚马逊美食评论数据集的评论分类系统 Review classification system based on 500 thousand Amazon gourmet review data 数据集下载地址Data set download address: 1.http://download.csdn.net/download/huangyueranbbc/9935028 2.https://www.kaggle.com/snap/amazon-fine-food-reviews 需要更多资源请关注。
https://www.kaggle.com/docs/notebooks 7. https://docs.aws.amazon.com/sagemaker/latest/dg/sms.html 8. https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler.html 9. https://docs.aws.amazon.com/sagemaker/latest/dg/feature-store-getting-started.html 10. https://docs.aws.amazon.com...
Data usedfor this experiment are coming from theKaggle Display Advertising Challenge Datasetpublished in 2014 byCriteo. If you are curious or if you want to push the Criteo Dataset further, you can refer to their 2015announcementand the relateddownload. ...
Bone Marrow Cell Classification [Data Set]. (2022, August). Retrieved from Kaggle: https://www.kaggle.com/datasets/andrewmvd/bone-marrow-cell-classification Deep Learning AMI Developer Guide. (n.d.). Retrieved from AWS Documentation: https://docs.aws.amazon.com/dlami...
21 measurements working under different conditions. The measurements include features such as zone temperature, zone pressure, fan speed, fuel flow, coolant flow, and more. You can get more details about the dataset on theKaggle website....
In this section, we’ll look at a credit card fraud detection dataset. The data set (Dal Pozzolo et al. 2015) was downloaded fromKaggle. We have features and labels for over a quarter million credit card transactions, each of which is labeled as fraudulent or not fraudule...
Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition - kaz-Anova/ensemble_amazon
We will simplify the dataset and only consider the user training data which is composed of features such as: gender, age, affiliate, browser, date of registration, etc. The data set is freely available on the competition page, and only requires registration to Kaggle. ...