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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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What is Exploratory Data Analysis?
Exploratory Data Analysis is a field of analytics that deals with initial data exploration and analysis. Using Exploratory Data Analysis, we clean up our data and use statistical and graphical means to draw insights from it, so that we can understand it better. This helps us understand which columns are important for our machine learning model, discover patterns and insights in our data, and learn about its characteristics.

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