Using kaggle datasets in Google Colaboratory notebook

Almost every data science aspirant uses Kaggle. It houses datasets for every domain. You can get a dataset for every possible use case ranging from the entertainment industry, medical, e-commerce, and even astronomy. Its users practice on various datasets to test out their skills in the field of Data Science and Machine learning. 

The Kaggle datasets can have varying sizes. Some datasets can be as small as under 1MB and as large as 100 GB. Also, some of the Deep learning practices require GPU support that can boost the training time. Google Colab is a promising platform that can help beginners to test out their code in the cloud environment.

Step 1: Download API from your profile

                        

                                                                        Create new API key

Step 2 : Open google colab --> new notebook

Step 3 : Download Kaggle.json file.

Step 4 : Execute following commands

                1. !pip install kaggle

        2. from google.colab import files

            files.upload()

        3. #create a new folder

            !mkdir -p ~/.kaggle

        

        4.#copy json file to the created folder

            !cp kaggle.json ~/.kaggle

        5.#change the mode to perform actions

            !chmod 600 ~/.kaggle/kaggle.json

        6.#download dataset from kaggle by API

            !kaggle datasets download -d sanikamal/horses-or-humans-dataset

            #here I have taken horses or humans dataset

        7. from zipfile import ZipFile

            with ZipFile("/content/horses-or-humans-dataset.zip")as ziper:

              ziper.extractall()

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