Exploratory Data Analysis (EDA) is a way of evaluating datasets to summarise their essential properties, generally using visual methods, in data mining. Before beginning the modelling work, EDA is used to see what the data can tell us.
Exploratory Data Analysis (EDA) is the critical process of performing early investigations on data utilising summary statistics and graphical representations in order to identify patterns, detect anomalies, test hypotheses, and check assumptions.
Dress shoes, hiking boots, sandals, and other footwear are available. When you use EDA, you open yourself up to the possibility that anyone may buy any number of various styles of shoes. You use exploratory data analysis to visualise the data and discover that most customers buy 1-3 different styles of shoes.
The goal of exploratory data analysis is to find missing data and other errors. Increase your understanding of the data set and its underlying structure. Find a parsimonious model that explains the data using the fewest possible predictor variables.
In any Data Analysis or Data Science project, exploratory data analysis, or EDA, is a critical phase. EDA is the investigation of a dataset to find patterns and anomalies (outliers), as well as to create hypotheses based on our knowledge of the dataset.
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Jagannath Mahato
5
Hello Kushal Sir!
Your way of teaching is very good. I thank you from my heart ❤️ that you are providing such good content for free.
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Muhammad Qasim
5
Hi Kushal ! Your way of teaching is extremely helpful and you are one of the best teacher in the world.
Extremely helpful and I recommend to my peer as well for this course.
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Shafi Akhtar
5
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Aniket Kumar prasad
5
Very helpful and easy to understand all the concepts, best teacher for learning ML.
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Rishu Shrivastav
5
explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
5
very nicely explained
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Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
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Mohd Mushraf
5
Amazing Teaching
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Juboraj Juboraj
5
Easy to understand & explain details.
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Joydeb
5
Awesome Course sir and your teaching style is very GOOD.
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