blog_posts: 24806d67fa
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#33-3206 | 2017-10-13 18:02:30 | Predict Billboard Top 10 Hits Using RStudio, H2O and Amazon Athena | https://aws.amazon.com/blogs/big-data/predict-billboard-top-10-hits-using-rstudio-h2o-and-amazon-athena/ | In this walkthrough, you leverage H2O.ai, Amazon Athena, and RStudio to make predictions on whether a song might make it to the Top 10 Billboard charts. You explore the GLM, GBM, and deep learning modeling techniques using H2O’s rapid, distributed and easy-to-use open source parallel processing engine. | https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2017/11/16/Billboard-table-300x177.png | 24806d67fa | Gopal Wunnava | 2021-01-16 04:29:08 | 13 Oct 2017 |
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