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Create a python application, plotting datasets (comparing), word cloud, twitter streaming api, scatter graphs in r studio, clustering algorithms, k means etc, Leeds facts and statistics on road traffic accidents, use SPARQL ENGINE + RDF FRAMEWORK .. - 18/

$100-400 AUD

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Pubblicato quasi 6 anni fa

$100-400 AUD

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Create a python application, plotting datasets (comparing), word cloud, twitter streaming api, scatter graphs comparing months, clustering algorithm, k means, finding facts and statistics on road traffic accidents, use SPARQL ENGINE + RDF FRAMEWORK Highlighting the map with numbers and percentages, predicting liklihood algorithms. Study the requirements and build me an application that is connected to a database and you can retrieve queries from that database which updates the contents of the application. I need report analysis with machine learning and you and me will work to find relevant material that is similar. Word cloud associated with the topic of road traffic accidents. Python based and looking for patterns within R Studio, month by month scatter graphs comparisons. Also consists of creating two logins one for registered users and guest and an artificial search like google predicting what the user types. And creating a section with the most searched areas. In the design I will have a navigation panel below and that will update the graph automatically to narrow the search. Please read entire requirements we can discuss this further.
Rif. progetto: 16994502

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4 proposte
Progetto a distanza
Attivo 6 anni fa

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4 freelance hanno fatto un'offerta media di $286 AUD
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$166 AUD in 3 giorni
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I have an vast experience and knowledge of Python, Machine Learning, Deep Learning, Clustering Algorithms and R. So, I am good fit for this project. I will deliver project according to your requirements. You can see my portfolio for more details about my depth knowledge of all this fields. I would like to discuss more on chat. Thanks.
$400 AUD in 10 giorni
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$300 AUD in 10 giorni
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Bandiera: INDIA
faridabad, India
4,9
37
Membro dal mar 9, 2017

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