recomender system written in python ( project )

timer Asked: Oct 23rd, 2015

Question description

I have a project that I am working on that involves building a recommender system using python to analyze a dataset. I am looking  for someone to help me with this and that HAS experience with machine learning and data mining techniques in Python using classifications, clustering, collaborative filtering, etc. I believe numpy, scikit learn will be used here...a couple others will be used too. I have a lot of sample code that can be used for this and I have all the resources necessary to complete it but low on time and understanding. If you can include similar work with your bid to prove that you have done something like this before, it will be helpful when picking out bids. It's hard just to take someones word for it since this is a specific assignment and not just regular python coding.

1. I want this to be coded using iPython Notebook. 

2. I have the dataset already in xlsx format. 

Deliverables for Application Development projects include the following.

  • A detailed project report, including a description of the system system (including specific techniques and algorithms you used), and the interaction between the components (make references to code segments, modules, methods, functions, as necessary). Your write up should also include description of the evaluation of your system demonstrating its correctness, functionality, accuracy, etc., and the description of the data set(s) used in evaluating your system.
  • Appendices to the main report should include:
    •  Complete (actual) sample runs of your program with descriptions, illustrating how your system works, along with any intermediate input or output used for the sample runs.
    • Fully documented code for the system, including any programs and scripts used for data preparation and analysis.
    • Binary files (e.g., executables, DLLs, Class files) or other components necessary to run your program.
    • Samples or detailed descriptions of the data sets used.
    • Readme file containing instructions on how to compile, install, and/or run your program, if appropriate, including relevant references to outside resources used.

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