Orange Data Mining Expert Required

£10-20 GBP

Completed

Posted

13 days ago

£10-20 GBP

Paid on delivery

Your task involves application of k-Means clustering in Orange data mining software with the aim to segment and profile the churners in Customer Churn [login to view URL] file. By applying the k-Means clustering you need to explore how many types of churners exist and what characterizes those types. More specifically, this assignment consists of two tasks:  Task a (Segmentation): Establish how many types of churners there are and the size of those types. This involves dividing the churners into segments.  Task b (Profiling): Profile and appropriately name the identified types of churners based on the values of their shared characteristics, i.e. variables. Your submission ought to include: 1. Orange workflow1 containing the k-Means clustering analysis of segments and profiles. 2. Summary file (max. 600 words; in PDF format) presenting the segments (Task a) and their profiles (Task b).

Project ID: 38014257

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@Madeleincristmas

Hi there, I hope you are doing well! I am Dian from Indonesia but right now I am living in Madrid, once I read your description, I sure can contribute and deal with this job because this is my field. I am a Master student in Banking and Financial Regulation and I have experience becoming a secretary of principal in an International school in Bali for more than 4 years before I moved to Madrid, and several experiences as an assistant online. I had a deal with big Chinese factories to promote and make their website, and I also worked with a professional art artist from Australia to promote her Instagram. I am ready now and can start ASAP. I am also an expert and have great experience in Python, R language, lead generation, web search, web scraping, virtual assistant, product upload on e-commerce sites, Excel, PDF to Word/Excel conversion, data processing, data entry, etc. Please send me a message to discuss more. Thank you. Regards, Dian

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@qualityxenter

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