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Time-series clustering of jobs performance behaviors using spark

I am working on a huge number of timeseries of jobs performance behaviors

the goal of my work is to cluster a large number of jobs performance behaviors saved as timeseries and identifying the optimal number of clustering using kmeans and Hierarchical and Dynamic Time Warping and compare between the three techniques using pyspark

I need someone who has good experience in pyspark especially the dataframe API to help me:

1-convert unsupervised machine learning codes (python code) to pyspark code

2-Submitting an application to YARN on cluster mood using

you need to be familiar with Hadoop ecosystem and spark

Квалификация: Machine Learning (ML), Spark, Hadoop, Python, Облачные вычисления

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О работодателе:
( 0 отзыв(-а, -ов) ) cairo, Egypt

ID проекта: #22355886

4 фрилансеров(-а) в среднем готовы выполнить эту работу за $48

schoudhary1553

Hello Sir, I am expert who understands the value of time. I pride myself in my attention to detail. I am very hard working and aim to deliver in less time than quoted. I want to make you, my employer happy without cha Больше

$120 USD за 3 дней(-я)
(31 отзывов(-а))
5.8
shahzaibpro

I am a Full-Time Freelance Full Stack Web App Developer-Designer (Specialising in CRM, Laravel, ERP, E-commerce, Website Developing & Designing, Android Apps, Ios Apps, web-apps). I am also proficient in the following Больше

$20 USD за 7 дней(-я)
(0 отзывов(-а))
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mudragadadp

Hi, Can you please share the details so that i can start the work. I am having good hands on experience in the mentioned tech stack.

$20 USD за 7 дней(-я)
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dhruti17mistry

Hi, I am very much interested in doing such kind of project. I have multiple years of professional/industry experience in developing warehouse, analytics and ML projects using Hadoop, Hive/Impala and Spark (using RDD a Больше

$30 USD за 5 дней(-я)
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0.0