Kaggle dataset download in colab

 import os

os.environ['KAGGLE_CONFIG_DIR']='/content/drive/MyDrive/Kaggle_Data'

%cd /content/drive/MyDrive/Kaggle_Data

/content/drive/MyDrive/Kaggle_Data

!ls

kaggle.json

!kaggle competitions download -c 30-days-of-ml # copy api from kaggel

2s

!kaggle competitions download -c 30-days-of-ml

Warning: Looks like you're using an outdated API Version, please consider updating (server 1.5.12 / client 1.5.4)
Downloading sample_submission.csv.zip to /content/drive/My Drive/Kaggle_Data
  0% 0.00/470k [00:00<?, ?B/s]
100% 470k/470k [00:00<00:00, 32.6MB/s]
Downloading test.csv.zip to /content/drive/My Drive/Kaggle_Data
 87% 22.0M/25.2M [00:00<00:00, 104MB/s] 
100% 25.2M/25.2M [00:00<00:00, 98.3MB/s]
Downloading train.csv.zip to /content/drive/My Drive/Kaggle_Data
 77% 31.0M/40.3M [00:00<00:00, 103MB/s]
100% 40.3M/40.3M [00:00<00:00, 100MB/s]

!mv train.csv.zip 30-days-of-ml # moving file into folder

0s

 

!mkdir 30-days-of-ml # creating the new folder 

!mv train.csv.zip 30-days-of-ml

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[14]

0s

%cd 30-days-of-ml #selecting current directory

/content/drive/My Drive/Kaggle_Data/30-days-of-ml

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[17]

10s

!unzip train.csv.zip #unzipping the file

Archive:  train.csv.zip
replace train.csv? [y]es, [n]o, [A]ll, [N]one, [r]ename: n

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[16]

1s

!unzip test.csv.zip #unziping the file in current directory

Archive:  test.csv.zip
  inflating: test.csv