Learn practical skills, build real-world projects, and advance your career
!pip install jovian --upgrade --quiet
!pip install opendatasets --upgrade
|████████████████████████████████| 68 kB 4.1 MB/s eta 0:00:011 Building wheel for uuid (setup.py) ... done Collecting opendatasets Downloading opendatasets-0.1.20-py3-none-any.whl (14 kB) Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from opendatasets) (7.1.2) Requirement already satisfied: kaggle in /usr/local/lib/python3.7/dist-packages (from opendatasets) (1.5.12) Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from opendatasets) (4.41.1) Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (5.0.2) Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (1.15.0) Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (1.24.3) Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2.8.1) Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2.23.0) Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle->opendatasets) (2021.5.30) Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle->opendatasets) (1.3) Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle->opendatasets) (2.10) Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle->opendatasets) (3.0.4) Installing collected packages: opendatasets Successfully installed opendatasets-0.1.20
import jovian
jovian.set_project('zerotopandas-course-project-starter')
jovian.set_colab_id('1DE2Lz7DiKwlSjPuzxIzuH26J8cag6qCE')
import opendatasets as od
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

STEP 1: Select a real world dataset

data_link = 'https://www.kaggle.com/rushikeshhiray/yugioh-normal-monster-cards' 
od.download(data_link)
Please provide your Kaggle credentials to download this dataset. Learn more: http://bit.ly/kaggle-creds Your Kaggle username: muhammadazhar123 Your Kaggle Key: ··········
100%|██████████| 6.62k/6.62k [00:00<00:00, 1.37MB/s]
Downloading yugioh-normal-monster-cards.zip to ./yugioh-normal-monster-cards