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Title | Welcome to the gamba library! | |
Description | A Python library for player behaviour tracking |
Keywords | fastai |
WebSite | gamba.dev |
Host IP | 66.29.146.24 |
Location | United States |
Site | Rank |
US$367,423
Last updated: 2022-12-09 05:14:24
gamba.dev has Semrush global rank of 28,806,907. gamba.dev has an estimated worth of US$ 367,423, based on its estimated Ads revenue. gamba.dev receives approximately 42,395 unique visitors each day. Its web server is located in United States, with IP address 66.29.146.24. According to SiteAdvisor, gamba.dev is safe to visit. |
Purchase/Sale Value | US$367,423 |
Daily Ads Revenue | US$340 |
Monthly Ads Revenue | US$10,175 |
Yearly Ads Revenue | US$122,098 |
Daily Unique Visitors | 2,827 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
gamba.dev. | A | 14400 | IP: 66.29.146.24 |
gamba.dev. | NS | 86400 | NS Record: dns2.namecheaphosting.com. |
gamba.dev. | NS | 86400 | NS Record: dns1.namecheaphosting.com. |
gamba.dev. | MX | 14400 | MX Record: 0 mail.gamba.dev. |
gamba.dev. | TXT | 14400 | TXT Record: v=spf1 +a +mx +ip4:66.29.146.23 +ip4:66.29.146.24 include:spf.web-hosting.com ~all |
Toggle navigation gamba Nav github Home Overview About Upcoming Features Tutorials Beginner Tutorial Intermediate Tutorial Advanced Tutorial Modules Data Measures Statistics Labelling Machine Learning Replications Replicating Research LaBrie et al 2007 LaBrie et al 2008 LaPlante et al 2009 Braverman and Shaffer 2010 Philander 2014 Inside the Decentralised Casino Auer 2021 Collapse All | Expand All --> Welcome to the gamba library! A Python library for player behaviour tracking research INFO:tensorflow:Enabling eager execution INFO:tensorflow:Enabling v2 tensorshape INFO:tensorflow:Enabling resource variables INFO:tensorflow:Enabling tensor equality INFO:tensorflow:Enabling control flow v2 The gamba transaction analysis library is a collection of methods for applying analytical methods found in peer-reviewed studies. The library is 100% free and open source, and aims to be used by researchers and analysts with access to transaction data sets. Features standardise your data across |
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