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juliajin1002 / NearestNeighbors

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new datasets #31

Open juliajin1002 opened 2 years ago

juliajin1002 commented 2 years ago

I have found some new datasets for our final project. Could you please take a look and let me know which ones you think would work well?

avocado.csv bank.xlsx insurance.csv TB_Burden_Country.csv @Rhys-L @patrick-junghenn @juliajin1002 @Chim515

Chim515 commented 2 years ago

Do you have the links or descriptions for the datasets, just so I have a little more context about what they're about? But I'm interested in the bank dataset

Rhys-L commented 2 years ago

Thanks for finding these! Yes, bumping up Chim's point, it would be great to have the source so we can read up on the datasets.

juliajin1002 commented 2 years ago

bank https://www.kaggle.com/edith2021/bank-marketing-campaign avocado https://www.kaggle.com/neuromusic/avocado-prices insurance https://www.kaggle.com/bartolomeucarvalho/insurance-prediction (I cannot find the exact link but this one has the same content in the dataset) TB_Burden https://public.tableau.com/en-us/s/resources (Go to sample data and scroll down to Health)

patrick-junghenn commented 2 years ago

I’m up for any of them. The insurance prediction looks like a pretty straight forward one. But as I said, I have no preference.

On Fri, Nov 19, 2021 at 6:03 PM juliajin1002 @.***> wrote:

bank https://www.kaggle.com/edith2021/bank-marketing-campaign avocado https://www.kaggle.com/neuromusic/avocado-prices insurance https://www.kaggle.com/bartolomeucarvalho/insurance-prediction (I cannot find the exact link but this one has the same content in the dataset) TB_Burden https://public.tableau.com/en-us/s/resources (Go to sample data and scroll down to Health)

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Chim515 commented 2 years ago

I'm fine with the bank or insurance, they don't look too bad

Rhys-L commented 2 years ago

I'm open to any of them, but I think the TB_Burden_Country dataset might be great for a modeling project because it has more features than the other datasets and a mix of continuous and categorical variables. Also it will need a bit of preprocessing work (nothing crazy, but like removing NAs) so including that as a step might make it easier for us to break the project into four parts.

On Sun, Nov 21, 2021 at 9:50 PM Chim515 @.***> wrote:

I'm fine with the bank or insurance, they don't look too bad

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/juliajin1002/NearestNeighbors/issues/31#issuecomment-975022110, or unsubscribe https://github.com/notifications/unsubscribe-auth/AMURBTAKUTSQCAQEN2EIPUDUNGVW5ANCNFSM5IMWVAMA . Triage notifications on the go with GitHub Mobile for iOS https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675 or Android https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub.

patrick-junghenn commented 2 years ago

That sounds good to me.

On Mon, Nov 22, 2021 at 10:17 AM Rhys @.***> wrote:

I'm open to any of them, but I think the TB_Burden_Country dataset might be great for a modeling project because it has more features than the other datasets and a mix of continuous and categorical variables. Also it will need a bit of preprocessing work (nothing crazy, but like removing NAs) so including that as a step might make it easier for us to break the project into four parts.

On Sun, Nov 21, 2021 at 9:50 PM Chim515 @.***> wrote:

I'm fine with the bank or insurance, they don't look too bad

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub < https://github.com/juliajin1002/NearestNeighbors/issues/31#issuecomment-975022110 , or unsubscribe < https://github.com/notifications/unsubscribe-auth/AMURBTAKUTSQCAQEN2EIPUDUNGVW5ANCNFSM5IMWVAMA

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