Re: [scikit-learn] Building models for recommendation system

[prince gosavi]

Hi,
Thanks for the response and Sorry for the trouble I will keep that in mind.
Regards


On Feb 14, 2018 16:40, "Manjunath Goudreddy" 
wrote:

> Hello,
>
> If you after video/music recommendation set, I recommend you to check
> websites like kaggle and Analytics Vidya.
> However recently there was a competition organised by kaggle which is to
> do with Music recommendation and here is the link to the dataset.
>
> https://www.kaggle.com/c/kkbox-music-recommendation-challenge
>
>
> I think we are ought to keep the mailing list specific to scikit-learn.
>
> regards
> Manjunath
>
> On Tue, Feb 13, 2018 at 6:31 PM, prince gosavi 
> wrote:
>
>> https://github.com/maxyodedara5/BE_Project/blob/master/final/test.ipynb
>> new link for code
>>
>> On Tue, Feb 13, 2018 at 8:23 PM, prince gosavi 
>> wrote:
>>
>>> Hi,
>>> I have a *1000x1000* euclidean* distance matrix.*
>>> The distance is calculated pairwise between each item i.e *distance
>>> between an ITEM with remaining ITEMS.*
>>> I would* like to know* the *next step after calculating the distance
>>> matrix.*
>>> Further, please* link some resources* so that I can get deep
>>> understanding because
>>>
>>> *as far as I have researched most of the websites provide examples with
>>> toy dataset which are pretty straight forward.*
>>> https://github.com/maxyodedara5/BE_Project/blob/master/test.ipynb is
>>> the link to the code
>>>
>>> CODE FOR READ ONLY PURPOSE.
>>> --
>>> Regards
>>>
>>
>>
>>
>> --
>> Regards
>>
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>>
>>
>
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Re: [scikit-learn] Building models for recommendation system

[Manjunath Goudreddy]

Hello,

If you after video/music recommendation set, I recommend you to check
websites like kaggle and Analytics Vidya.
However recently there was a competition organised by kaggle which is to do
with Music recommendation and here is the link to the dataset.

https://www.kaggle.com/c/kkbox-music-recommendation-challenge


I think we are ought to keep the mailing list specific to scikit-learn.

regards
Manjunath

On Tue, Feb 13, 2018 at 6:31 PM, prince gosavi 
wrote:

> https://github.com/maxyodedara5/BE_Project/blob/master/final/test.ipynb
> new link for code
>
> On Tue, Feb 13, 2018 at 8:23 PM, prince gosavi 
> wrote:
>
>> Hi,
>> I have a *1000x1000* euclidean* distance matrix.*
>> The distance is calculated pairwise between each item i.e *distance
>> between an ITEM with remaining ITEMS.*
>> I would* like to know* the *next step after calculating the distance
>> matrix.*
>> Further, please* link some resources* so that I can get deep
>> understanding because
>>
>> *as far as I have researched most of the websites provide examples with
>> toy dataset which are pretty straight forward.*
>> https://github.com/maxyodedara5/BE_Project/blob/master/test.ipynb is the
>> link to the code
>>
>> CODE FOR READ ONLY PURPOSE.
>> --
>> Regards
>>
>
>
>
> --
> Regards
>
> ___
> scikit-learn mailing list
> scikit-learn@python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
>
>
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Re: [scikit-learn] Building models for recommendation system

[prince gosavi]

https://github.com/maxyodedara5/BE_Project/blob/master/final/test.ipynb new
link for code

On Tue, Feb 13, 2018 at 8:23 PM, prince gosavi 
wrote:

> Hi,
> I have a *1000x1000* euclidean* distance matrix.*
> The distance is calculated pairwise between each item i.e *distance
> between an ITEM with remaining ITEMS.*
> I would* like to know* the *next step after calculating the distance
> matrix.*
> Further, please* link some resources* so that I can get deep
> understanding because
>
> *as far as I have researched most of the websites provide examples with
> toy dataset which are pretty straight forward.*
> https://github.com/maxyodedara5/BE_Project/blob/master/test.ipynb is the
> link to the code
>
> CODE FOR READ ONLY PURPOSE.
> --
> Regards
>



-- 
Regards
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