Exploratory Data Analysis using Data Visualization Techniques.

INTRODUCTION.

Just like everything in this world, data has its imperfections. Raw data is usually skewed, may have outliers, or too many missing values. A model built on such data results in sub-optimal performance. In a hurry to get to the machine learning stage, some data professionals either entirely skip the exploratory data analysis process or do a very mediocre job. This is a mistake with many implications, which include generating inaccurate models, generating accurate models but on the wrong …

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