Machine Learning Tutorial Chap 4| Part-1 Exploratory Data Analysis Tutorial | Rohit Ghosh | GreyAtom
Channel: GreyAtom EduTech
Date: 31/05/2019

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Welcome to the #DataScienceFridays Rohit Ghosh, a deep learning scientist, and an Instructor at GreyAtom will take us through Exploratory Data Analysis Tutorial in machine learning through an introduction series. 

Exploratory Data Analysis  (EDA) refers to the critical process of performing initial investigations on data so as to discover patterns,to spot anomalies,to test hypotheses and to check assumptions with the help of summary statistics and graphical representations. 

It is one of the crucial step in data science that allows us to achieve certain insights and statistical measure that is essential for the business continuity, stockholders and data scientists.

Study Exploratory Data Analysis in Machine Learning through this introductory session for beginners. 

This is the first in 2 videos about Exploratory Data Analysis in Machine Learning. 

In this video, we will explore what is exploratory data analysis, its objectives and introduction to Seaborn.

Complete Playlist for the Course: https://bit.ly/2Q1zvK6 

After completing our 2-part Series on Exploratory Data Analysis, you will be able to do the following

What is Exploratory Data Analysis
Understand the main objectives of EDA
Learn the steps involved in EDA
Learn to gain insights by plotting different kinds of graphs using python libraries seaborn & matplotlib

Here’s the full syllabus of our 2-part video on Exploratory Data Analysis Tutorial in Machine Learning:

Initial Exploration on Exploratory Data Analysis
Introduction to Seaborn
Univariate Analysis
Multi-variate Analysis


#machinelearningtutorial #exploratorydataanalysis #DataScience101 #Greyatom

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