In Nashik, exploratory data analysis (EDA) is a crucial component of data science course.

Data analysis starts with exploratory data analysis (EDA), where analysts use a range of techniques, often with the help of visual aids, to extract the most important aspects of the data. Using descriptive statistics and graphical representations, the objective is to identify trends, identify anomalies, test hypotheses, and verify presumptions. EDA is important because it guides data scientists in their decision-making regarding the modeling techniques to use and the data preprocessing methods to employ.

author avatar

0 Followers
In Nashik, exploratory data analysis (EDA) is a crucial component of data science course.
Top
Comments (0)
Login to post.