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Statistical analysis to determine the optimized method and predict best website or tuple for Web 3.0

The title of our study is “Selection of a suitable website for web 3.0 using Nature-inspired computation or Machine learning.” Here we wish to determine the optimized method for the web 3.0 File Information Management System, and provide optimal results using evolutionary computation or machine learning.

For this purpose, we have attached the real-world dataset website data collected from the different agencies like Alexa, Dmoz, Domain authority, Page Authority, Domain age, Google ranking Face book ranking, twitter, etc. in the Excel data file.

In this excel sheet, the columns are different ranking agencies given rank to the website mentioned in the second column. Here, 1 means the least priority and 100 means maximum priority given. Now, it is required to perform suitable statistical analysis of the data based on the available parameters and predict the best website or tuple (a data structure consisting of multiple parts). Thereafter, it is required to write a full research paper of about 3000 words (i.e the words in main text of the paper; words in references are not counted)

Beceriler: İstatistiksel Analiz, SPSS İstatistik, Yerine Yazma, Akademik Yazı, Araştırma Yazarlığı

Daha fazlasını gör: best website users online counter, best website widgets, best website banner, best website background photography, best website scraper, statistical analysis research projects, run statistical analysis access, best website holding page, marketing plan statistical analysis, best website terms conditions, best website gaming clan website, best website pop player shoutcast, best website creator, best website freelance english proofreading, best website for web developers, best website for web disgining online job, best website freelance under $3 k, best website freelance web deverloper, best website start web developer freelance, top best website for web designer

İşveren Hakkında:
( 14 değerlendirme ) Bhubaneswar, India

Proje NO: #20914842

Seçilen:

citijayamala

1.I am an expert in statistical analysis, Statistics, regression analysis, using both Excel and SPSS, also expert in Excel, Excel formulas, and all excel functions, macros, lookup, pivot tables and charts. [login to view URL] done Daha Fazla

%selectedBids___i_period_sub_7% gün içinde 150%project_currencyDetails_sign_sub_9% %project_currencyDetails_code_sub_10%
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Bu iş için 10 freelancer ortalamada $120 teklif veriyor

softechinfinites

Hello Dear, i have gone through your project and i can do Statistical analysis to determine the optimized method and predict best website or tuple for Web 3.0. I will provide best quality work as i did many statistic Daha Fazla

$200 USD in 5 gün içinde
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IdealAftab

Hello I am an experienced Academic Research paper and Business report/plan writer. My expertise includes: Project Management, Python, R-Programming and Matlab Coding. Education: I have done Masters in Daha Fazla

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Mendeznatera

You can see my Google Academics profile at [login to view URL] and ResearchGate profile at [login to view URL] I will do all the tasks that you assign. I Daha Fazla

$50 USD in 7 gün içinde
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MohammedSulhi

I am an experienced Data Scientist and Machine Learning Engineer . Deep learning , Artificial intelligence , machine learning , Data structures and algorithms are my major fields.I finished Deep neural Network , Convol Daha Fazla

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Lokt1an

Hi I am Lok, an expert content writer with 5+ Years of experience. I write blogs, articles, press releases, web content and technical content for different domains. I can provide you best quality of error-free, 100% Un Daha Fazla

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omoboladeolumode

I'm a professional writer with 10yrs experience and excellent skills in academic, financial planning, research and article writing, Ebooks, Report writing, Thesis , textbook content, Article writing,Literature writing, Daha Fazla

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mahnoorrana1995

i am certified statistician Relevant Skills and Experience am expert in SPSS,SAS,Stata,Eviews,minitab and matlab

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AnyaInnovative

Hi! You have an interesting idea! I did some preliminary examination of the data. Results: [login to view URL] Coded in Python with pandas and seaborn library. Please have a look, Daha Fazla

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