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A Recommender System

$30-250 AUD

Completed
Posted almost 9 years ago

$30-250 AUD

Paid on delivery
Implement A Recommender System and to predict the rating of the books on specific datasets or predict the rating of movies. You can use any algorithms but collaborative filtering is strongly recommended for this project. The datasets are from grouplens. Besides the code, a good document has to be provided to speicfy what you did, what the environment and tools you use and what algorithm you use. How your program works and the result files are needed as well. Books: [login to view URL]~cziegler/BX/ Movies:[login to view URL]
Project ID: 7748795

About the project

3 proposals
Remote project
Active 9 yrs ago

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I has been working in many machine learning projects and i'm familiar with recommender system, too. Feel free to contact me for further discussion.
$250 AUD in 3 days
5.0 (1 review)
4.2
4.2
3 freelancers are bidding on average $505 AUD for this job
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Hii , I am vikash.I have completed my graduation from one of the reputed institute ( IIT Guwahati ) in India.I have done machine learning course during my graduation and it is my favorite subject. I have completed several projects in machine learning during course as well as during my summer internship. I am quite capable of completing your project in time . I got the data set.I can implement Content-based recommendation algorithm or collaborative filtering as well. If you are interested you can whatsapp me at +91-8011229685 for further discussion. Thanks . :)
$266 AUD in 5 days
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I'm a computer science professional with a PhD degree and extensive experience in machine learning, Matlab, C++, and other languages. I've done projects like this one, please see reviews on my profile. It would be my pleasure to do your project. Sorry but I have to ask for a higher price due to urgency. See this project I've done: https://www.freelancer.com/jobs/Matlab-Mathematica/Machine-learning-MATLAB-open-bidding/
$1,000 AUD in 5 days
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Flag of AUSTRALIA
City, Australia
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Member since Sep 29, 2014

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