prediction

A proposal has not yet been provided

hello, Thanks for your invitation. I am a good researcher (Ph.D candidate), specializing in big data processing and optimization. I have 5 year experience within hadoop ecosystem. Be familiar with Mapreduce, HDFS, Hive, Hbase, SPARK, etc. Your prediction task is a typical machine learning task. In what ways do u need to implement it? Waiting for your positive reply. Best regards

I am working on hadoop for more than a year. I have worked on a lot of thing related to hadoop e.g data parsing using hive and python, cluster management. So its will be very interesting for me to work on thing project. Can you elaborate you problem before I mention miles stones completely ?

A proposal has not yet been provided

Hi, Below is my experience, and I can deliver you quality work with in specified or agreed time. Myself Ph.D. in advanced analytics having 10+ years of experience in developing and delivering analytical projects using both open source R (including in-memory computing), and Hadoop. Can deliver your requirement accompanied by a step-by-step word document, what each line or code means. As, freelancer.com bid does not allow for attaching; cannot showcase my expertise in this area. I am available at freelance chat (click on my name and options), to understand the requirements and explain my approach if required in detail. Waiting for your reply. Regards, Dr. Kumar PM.

We have good knowledge on big data Hadoop . We are interested in doing this work. Could you please provide more details on this.

I have 4+ years of working experience in data mining and machine learning domain and have master degree in computer science. Worked on many projects mainly in Predictive analytics, Natural language language, text mining, web mining etc. Expertise in R, Python, Hadoop, MapReduce, Hbase,Hive,Pig etc.

Task1: Receive the data and clarify the doubts. I will use Hive to analyze the data. Task2: Create the Tables Task3: Populate the Tables with subset of data Task4: Write queries and run the result for the subset of data. Share the result and verify it. Task5: Update if any modifications are needed. Rerun and share the result and code.