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Exploratory Data Analysis in ML

WHAT IS EXPLORATORY DATA ANALYSIS? Exploratory data analysis is a process in which one uses various statistical and probability tools, along with it the various modules such as NumPy, and pandas for accessing and modifying, and we also use certain visualization tools such as matplot and seaborn to draw various conclusions and insights from data, as well as understand data based on the task assigned and produce the best output within the domain. IMPORT SECTION Here we import the necessary libraries for our exploratory data analysis READING A DATASET: This is a classification data set taken from the Kaggle website the link for downloading the dataset is here The next important task is to understand the dataset and know its shape and columns is part of understanding conclusions: 1)By this, we can understand that the 'Drug' column is the output variable for or data set and 5 other features are the independent variables. 2)Most of the variables here are categorical so we need to un...