Exploratory Data Analysis In Python | Exploratory Data Analysis Project In Python | Simplilearn

In this video on Exploratory Data Analysis in Python, we will take you through the different steps involved in Exploratory Data analysis with the help of the housing dataset. Learn to clean and prep data before using it for machine learning or analytics and learn different tips and tricks to draw useful insights from your data by following along with the python code. Get your hands dirty and dive into our Exploratory Data Analysis Project in Python which is performed on market analysis data and become a pro at manipulating your datasets and finding patterns in data.

The topics covered in this video are:
00:00 What is Exploratory Data Analysis?
05:12 Steps involved in EDA
35:10 Demo

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[syedabaduruunnisa]

Why you guys don't attach a datasets
Where and how we will practice

[frimpongmichael]

There is no link to the dataset in the description as you claim 😢

[abhijittewari]

at some places you have used matplot and at other places you have used seaborn.. why so..? why not keep consistent on one of them throughout the analysis..??

[AshishSahu-mu]

df_train = > 1]).index, 1)
df_train =
df_train.isnull().sum().max()

Error :-
TypeError: drop() takes from 1 to 2 positional arguments but 3 were given

[tagoreji]

@48.43, 50 null values in the month column are changed to May 2017. Doesn't, it seems to be biased? b'coz 50 values are updated 50 is a big number right

[akashdarekar]

can you provide market analysis data set?