How To Install And Operate The Kaggle API

The Kaggle website has to be one of the best places for ambitious machine learning and artificial intelligence developers for several reasons. There is no way for one video to go over all of those reasons. In today's video, I will show you how to install and use the Kaggle API, allowing you access to the information that the Kaggle API can provide you. For instance, the ability to download datasets from their vast database. Welcome to the Islander community, where we are using python to learn machine learning applications through demonstration.

#machinelearning
#kaggle
#pythonAPI
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The steeps for today's video
Click on your profile
Once on your profile page, click on the account tab
Scrow down to the API section and click on create a new API token
Then open a terminal and make sure you are in the root directory
For windows, mac, and Linux, you will want to type cd
Now create a .kaggle directory in the root directory
mkdir .kaggle
The last step is to install the API, which you can do in 1 of three ways. I am also assuming that you have pip installed on your system
If you are not using a virtual machine, you can just run pip install Kaggle into your terminal
If you are using a virtual machine, you will want to activate that then enter pip install Kaggle into your terminal
Some IDEL allows you the ability to install python packages through them. This can be the easiest and fastest way to install the API
The Kaggle API is a command-line tool, so to test the install, you will want to run an API key like the one down bellow
kaggle datasets download -d camnugent/california-housing-prices
If you were able to download a zip file, then you have successfully installed and operated the Kaggle API
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To take it up a notch, check out the GitHub link down below:
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More videos you will enjoy
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[alimibrahem]

Thank you very much for this explination..!🌹

[quirogajuansebastian]

Which virtual environment do you recommend? Should create a video on how to set up and work with that.

[RoosterCogburnPhD]

I had this bizarre issue with the Kaggle API where I kept getting a 403 - forbidden error whenever using the download command in the Windows CLI, even after putting the API token in every correct place I could think of, but then it suddenly just worked.

Edit: Nevermind, we're right back to the 403 terminal error

Edit Edit: For some reason the getting-started House Prices Advanced Regression competition is glitched and I wasted an entire day on trying to get around it, doing the Titanic competition instead