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

$30-250 USD

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超过 4 年前

$30-250 USD

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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)

项目 ID: 20914842

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@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 many projects in Excel, created many dashboards, and Business intelligence tool for Forex markets. Experienced MBA Finance as well. [login to view URL] project will be delivered on time with high standard [login to view URL] will be provided with number of clarifications until client satisfaction

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@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 statistical projects previously. Please send me a message once. Thanks

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@IdealAftab

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