Where does kaggle api download files go

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But if you are lazy you can just install kaggle on your server pip install kaggle . And to download a whole competition you may call this from 

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25 Oct 2018 This is part-1 of the blog series — How to analyze Kaggle data with Apache Spark and After installing kaggle-cli, go to your account and then create API tokens. This downloads a kaggle.json file with the API tokens in it.

1 Apr 2018 Kaggle is a site that hosts machine learning competitions to practice Once you have logged in, you will have to go to the 'My Account' The 'Create New API Token' button will trigger a download of a file called 'kaggle.json'. 21 Aug 2017 Go to the Account tab of your user profile on Kaggle and click the “Create New API Token” button. This will automatically download a JSON file,  But if you are lazy you can just install kaggle on your server pip install kaggle . And to download a whole competition you may call this from  Login to your Kaggle account and go to My Account -> API and Create New API Token. This will download your API token file, kaggle.json, on your machine. Go to https://kaggle.com/YOUR_KAGGLE_USERNAME/account and click the to download required data (it seems that Kaggle official API doesn't support listing file How do get the kaggle.json file into ~/.kaggle/kaggle? Kaggle is a fantastic place to find practice datasets to learn with – both (not a Python script!) to search and download Kaggle dataset files. you will need to set up a free account at Kaggle, and download your API key And there you go! 31 Dec 2018 You know where all those datasets are and you know where you want them to go, but how do you easily move your datasets from Kaggle into 

25 Oct 2018 This is part-1 of the blog series — How to analyze Kaggle data with Apache Spark and After installing kaggle-cli, go to your account and then create API tokens. This downloads a kaggle.json file with the API tokens in it.

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Kaggle Fundamentals: The Titanic Competition Kaggle is a site where people create algorithms and compete against machine learning practitioners around the world.

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