TensorFlow 2.0 Tutorial for Beginners 6 - How to Download ML Dataset in Google Colab from Kaggle

In this video we learn how to download Machine Learning dataset in google colab from Kaggle. Most of the time we need to use the dataset from Kaggle for our Machine Learning algorithms, generally people download the dataset in their local system and then upload it to google colab. In this video we will see a very simple solution by which once can directly download the dataset to the google colab instead of downloading locally and then uploading it to google colab, before we start working we need to create a new account with kaggle of can login if we already have an account.

One you registered and logged in successfully you need to click on your profile picture and you see the option called account click the account tab and hit my account button, in your account, you will see three dots at extreme right side click on that and then again from the drop-down click account and here you will see API section and you need to download the API from there.


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[RakeshKumar-tryg]

Please could you make End to end simple deep learning project and deployment must be there using Docker, Heroku or local flask rest api.

[khushbootaneja]

Hello sir, I followed your tutorial and upload the disaster-tweet dataset from Kaggle. I think the interface has been changed by Kaggle. Now we have the option to copy api command in the right side near New Notebook menu in the dataset window and command has been replaced by !Kaggle datasets download -d datasetname But the file that I have uploaded is zip file. Sir, please tell how to unzip it to use cvs file..Thank you

[kishanpandey]

Getting error while typing:
!kaggle competitions download -c dogs-vs-cats


The error is"403 - Forbidden"

[preetikatiyar]

Help to read dataset of lung cancer lidc-idri to jupyter

[faisaltextiles]

after this commnd "kaggle competitions download -c dogs-vs-cats" this message appear "403 forbidden"