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Data Science
Fixed Price: $75 - $125   |  Posted: 16h, 41m ago  |  Ends: 14d, 7h  |   3 Proposals
Project: Get and Post data via the pinnaclesports.com API Language: Your code has to be done in R (  [obscured]  -project.org) The Project: Part 1 Develop R code that retrieves data from pinnaclesports.com via their public API. Part2 Develop R code that allows placement of wagers at pinnaclesports.com via their public API. The pinnaclesports.com API documentation is found here:   [obscured]  /en/api/manual A pinnaclesports.com account will be provided for testing the R Code. Please be aware that pinnaclesports.com is Geo IP Blocking IP addresses from the USA,UK and Singapore. You will not be able to do this project if your IP address is originating from those 3 regions. Please make sure your code is conform with this style guide:   [obscured]  -styleguide.googlecode.com/svn/trunk/Rguide.xml Part 1 Deliverables Function: pinnacleAPI.GetSport A function that uses Get Sports (see Manual) and returns a data frame with the Sport ID, Feed Contents and Sport Name ...
Category: Data Science       
Skills: API Development, R stats       

T****wer
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| T****wer
|    Germany
Fixed Price: Less than $500   |  Posted: Jun 29, 2015  |  Ends: 13d, 16h  |   5 Proposals
I have a list of bank branches that ever operated in India and need to get their GPS coordinates. I'm using the Reserve Bank of India's Master Office File which includes fields for state name, district name, center name, bank name, branch name, and address. However, oftentimes this is not sufficient to get a good read on the branch's location, which I need with high accuracy. I need someone who can track down the GPS coordinates in a clever way (I've written an R file which issues a GoogleMaps coordinate query, but am often getting bad coordinates - e.g., not within India). To be considered for this job, please: * Provide a brief description of how you will identify the coordinates if you're awarded the job. * Describe how you would evaluate the accuracy of your coordinates. I'm attaching a sample of the branches so you know how the data is structured. Many thanks, Anthony
Category: Data Science       

h****o-x
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| h****o-x
Hourly Rate: $20 - $40 / hr   |  Duration: 3-4 weeks  |  Posted: Jun 29, 2015  |  Ends: 24d, 10h  |   8 Proposals
I am looking for a Data Scientist with strong analytical and statistics backgrounds who is an advanced user of R. I lead the Marketing and Analytics Department of a Brasil based startup in the phone insurance space and I'd like help with analyzing large data sets (creating predictive models, descriptive modes, tree induction, regression etc.) I am looking for a long term "team mate" to help with the following: 1) Teaching/coaching me on how to independently build these models going forward, my goal is to become an advanced R practitioner, however for the time being I will need a helping hand. 2) Building models with the data I will provide in the event they are too complicated for me to create myself. I look forward to a winning partnership together.
Category: Data Science       
Skills: Data Science       

R****oar
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| R****oar
|    United States
Hourly Rate: Not Sure   |  Duration: Not Sure  |  Posted: Jun 28, 2015  |  Ends: 12d, 14h  |   27 Proposals
Hi We need a developer for R, with robust data mining and statistical background, for a long-term engagement after a successful initial trial period. Please only reply if you have SOLID previous experience with R, this post is for a SKILLED resource only. We only work directly with developers - no agencies or project-management mediated arrangements considered. Familiarity with MS SQL and ODBC a plus but not mandatory. Thanks!
Category: Data Science       
Preferred Location: Western Europe, Eastern Europe

t****i79
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| t****i79
|    United Kingdom
Hourly Rate: Not Sure   |  Duration: 1-3 months  |  Posted: Jun 28, 2015  |  Ends: 26d, 22h  |   32 Proposals
Using Data prediction techniques, we need to predict future data using already existing data. It's a combination of Economics and Computer Science where I have gathered previous years data of indictors like GDP, Labour Demand, Unemployment rate etc. Using this data of last 20 years, we have to predict these indicators for next 10 years and plot the result(either in graph or line or table format, etc) on a Map for different countries. All the data is available. All we have to do is - PREDICT AND PLOT. Note: There is no contraint on Technology/Language. I know that R language is very useful for statistical analysis like this. But any other language that can do the work will be good.
Category: Data Science       
Skills: Predictive Analytics       

n****891
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| n****891
|    United States
Fixed Price: Less than $500   |  Posted: Jun 27, 2015  |  Ends: 11d, 2h  |   13 Proposals
Hi, I have some R scripts and need to implement them in python. More details in messages. Need robust implementation and professional coding. Thanks
Category: Data Science       
Skills: Python       

q****ian
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| q****ian *
|    India
Hourly Rate: $20 - $40 / hr   |  Duration: 3-4 weeks  |  Posted: Jun 26, 2015  |  Ends: 10d, 10h  |   21 Proposals
I am looking for a Data Scientist with strong analytical and statistics backgrounds who is an advanced user of R. I lead the Marketing and Analytics Department of a Brasil based startup in the phone insurance space and I'd like help with analyzing large data sets (creating predictive models, descriptive modes, tree induction, regression etc.) I am looking for a long term "team mate" to help with the following: 1) Teaching/coaching me on how to independently build these models going forward, my goal is to become an advanced R practitioner, however for the time being I will need a helping hand. 2) Building models with the data I will provide in the event they are too complicated for me to create myself. I look forward to a winning partnership together.
Category: Data Science       
Skills: Data Science       

R****oar
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| R****oar
|    United States
Fixed Price: Less than $500   |  Posted: Jun 21, 2015  |  Ends: 5d, 2h  |   10 Proposals
We are trying to predict the average value of a user arriving on a category on our website. The competition: The data is segmented to three pieces: train, test and validation. The train and test data are in the train_data.csv and contains labeled data. The validation data, is the one you are tested upon, and you'll receive only an un-labeled dataset, where we have a labeled dataset. Once you complete your modeling and submit your results it will be tested against the labeled validation data. The winner is the one who gets the lowest wMSE over the validation dataset, will get a 300$ Bonus. The daily winner will get a 15$ bonus. The minimum requirements of every submission is to be better than the last version you've submitted and to be better than model 0, a very basic model we've created which should not be hard to over come. If you'll meet the minimum requirements(Send a better prediction than the model 0, and the R code file) you'll be awarded with 50$ once during the competitio...
Category: Data Science       
Skills: R, Machine Learning, Data Science       

Y****nal
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| Y****nal
|    Israel
Fixed Price: Less than $500   |  Posted: Jun 21, 2015  |  Ends: 5d, 1h  |   1 Proposal
We are trying to predict the average value of a user arriving on a category on our website. The competition: The data is segmented to three pieces: train, test and validation. The train and test data are in the train_data.csv and contains labeled data. The validation data, is the one you are tested upon, and you'll receive only an un-labeled dataset, where we have a labeled dataset. Once you complete your modeling and submit your results it will be tested against the labeled validation data. The winner is the one who gets the lowest wMSE over the validation dataset, will get a 300$ Bonus. The daily winner will get a 15$ bonus. The minimum requirements of every submission is to be better than the last version you've submitted and to be better than model 0, a very basic model we've created which should not be hard to over come. If you'll meet the minimum requirements(Send a better prediction than the model 0, and the R code file) you'll be awarded with 50$ once during the competitio...
Category: Data Science       
Skills: R, Machine Learning, Data Science       

Y****nal
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| Y****nal
|    Israel
Fixed Price: Less than $500   |  Posted: Jun 21, 2015  |  Ends: 5d, 0h  |   2 Proposals
We are trying to predict the average value of a user arriving on a category on our website. The competition: The data is segmented to three pieces: train, test and validation. The train and test data are in the train_data.csv and contains labeled data. The validation data, is the one you are tested upon, and you'll receive only an un-labeled dataset, where we have a labeled dataset. Once you complete your modeling and submit your results it will be tested against the labeled validation data. The winner is the one who gets the lowest wMSE over the validation dataset, will get a 300$ Bonus. The daily winner will get a 15$ bonus. The minimum requirements of every submission is to be better than the last version you've submitted and to be better than model 0, a very basic model we've created which should not be hard to over come. If you'll meet the minimum requirements(Send a better prediction than the model 0, and the R code file) you'll be awarded with 50$ once during the competitio...
Category: Data Science       
Skills: R, Machine Learning, Data Science       

Y****nal
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| Y****nal
|    Israel
Fixed Price: Less than $500   |  Posted: Jun 18, 2015  |  Ends: 2d, 5h  |   4 Proposals
We are trying to predict the average value of a user arriving on a category on our website. The competition: The data is segmented to three pieces: train, test and validation. The train and test data are in the train_data.csv and contains labeled data. The validation data, is the one you are tested upon, and you'll receive only an un-labeled dataset, where we have a labeled dataset. Once you complete your modeling and submit your results it will be tested against the labeled validation data. The winner is the one who gets the lowest wMSE over the validation dataset, will get a 300$ Bonus. The daily winner will get a 15$ bonus. The minimum requirements of every submission is to be better than the last version you've submitted and to be better than model 0, a very basic model we've created which should not be hard to over come. If you'll meet the minimum requirements(Send a better prediction than the model 0, and the R code file) you'll be awarded with 50$ once during the competiti...
Category: Data Science       
Skills: R, Machine Learning, Data Science       

Y****nal
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| Y****nal
|    Israel
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