sukanyabag

#import the pandas and sweetviz library. Make sure both are installed in your system properly. 
# if not, pass the command 'pip install pandas' and 'pip install sweetviz'
import pandas as pd
import sweetviz

sukanyabag

#load the train and test datasets using pandas

train = pd.read_csv("train.csv")
test = pd.read_csv("test.csv")

sukanyabag

#check the 1st 5 rows
train.head()
#check the last 5 rows
train.tail()

sukanyabag

#create a variable called report.

report = sweetviz.analyze([train,"Train"], target_feat = 'SalePrice')

# creating the report as a html file to view and study the exploratory data analysis.
report.show_html('Report.html')

sukanyabag

# sweetviz's compare function helps to compare and make eda on two or more features

report1 = sweetviz.compare([train,"Train"],[test,"Test"], "SalePrice")

# generating the interactive html report; this gets automatically saved to your folder

report1.show_html('Report1.html')

sukanyabag

y(t) = Level + Trend + Seasonality + Noise

sukanyabag

y(t) = Level * Trend * Seasonality * Noise

sukanyabag

import pandas as pd
import os
import shutil
# create a data for the covid +ve samples (ieee real world dataset)
FILE_PATH = "covid-chestxray-dataset-master/metadata.csv"
IMAGES_PATH = "covid-chestxray-dataset-master/images"

sukanyabag

df = pd.read_csv(FILE_PATH)
print(df.shape)
df = pd.read_csv(FILE_PATH)
print(df.shape)

sukanyabag

df = pd.read_csv(FILE_PATH)
print(df.shape)