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pip install jovian --upgrade
Collecting jovianNote: you may need to restart the kernel to use updated packages.
Downloading jovian-0.2.33-py2.py3-none-any.whl (67 kB)
Collecting requests
Using cached requests-2.25.1-py2.py3-none-any.whl (61 kB)
Requirement already satisfied, skipping upgrade: pyyaml in e:\machine-learning\kaggle\uber-lift-price-prediction\env\lib\site-packages (from jovian) (5.4.1)
Collecting click
Using cached click-7.1.2-py2.py3-none-any.whl (82 kB)
Collecting uuid
Downloading uuid-1.30.tar.gz (5.8 kB)
Collecting idna<3,>=2.5
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Collecting chardet<5,>=3.0.2
Using cached chardet-4.0.0-py2.py3-none-any.whl (178 kB)
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Collecting urllib3<1.27,>=1.21.1
Downloading urllib3-1.26.3-py2.py3-none-any.whl (137 kB)
Building wheels for collected packages: uuid
Building wheel for uuid (setup.py): started
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Created wheel for uuid: filename=uuid-1.30-py3-none-any.whl size=6505 sha256=4e32993338c2ba098ffea27b5c8174460ea820e791d227633968f3d4d86eb444
Stored in directory: c:\users\asus\appdata\local\pip\cache\wheels\1b\6c\cb\f9aae2bc97333c3d6e060826c1ee9e44e46306a178e5783505
Successfully built uuid
Installing collected packages: idna, chardet, urllib3, requests, click, uuid, jovian
Successfully installed chardet-4.0.0 click-7.1.2 idna-2.10 jovian-0.2.33 requests-2.25.1 urllib3-1.26.3 uuid-1.30
Import the Dataset
!pip install missingno
Collecting missingno
Using cached missingno-0.4.2-py3-none-any.whl (9.7 kB)
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Installing collected packages: missingno
Successfully installed missingno-0.4.2
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import jovian
import missingno
dataset = pd.read_csv('data/airplane_crashes_and_fatalities_since_1908.csv')
dataset.head()