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  • @Damilola Omifare I am interested in any messy datasets which deal with complex network data. I also recently found a database on something like 30,000 ​anime characters which categorizes them by skin tone, eye color, hair color, role, and a dozen ...

  • Hello @Bryan Atkinson I admire you are looking for the messiest or noisiest data-sets. Data cleaning and wrangling are fun. I do them a lot. When it comes to Kaggle competition, most of the dataset they have are messy. Maybe not the kind of messiness ...

  • Hello @rajesh kumar Great work you ask there. There are main libraries of course but it all depends on what insight you want to get from your data. Nevertheless, based on experience and years of practice, there are the main ones i know of. They are ...

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  • Originally published on medium. Step by step instructions on this github repo . t-SNE on MNIST Database of Handwritten Digits No Coding, Python or R required. Just plug your high-dimensional data and visualize it with the ...

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  • This article introduces a landscape diagram which shows 50 or so of the most popular Python libraries and frameworks used in data science. Landscape diagrams illustrate components within a technology stack alongside their complementary technologies. ...

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  • What is data science ? At this point, roughly a decade after the general introduction of data science in industry, is there a standard definition used? One often-cited tagline comes from a popular 2012 tweet by Josh Wills: Data Scientist ...

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  • Blockchain technology was introduced around the year 2008 for processing crypto currency application known as Bitcoin. Bitcoin used as a digital currency, monitored by the users in a peer to peer network and importantly not monitored by government agencies ...

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