Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values.
Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values. This course is part of the Supervised Learning path – complete this path to learn how to use and evaluate a range of supervised learning algorithms.
Requirements
Previous experience of using Python is required. Prior knowledge of machine learning is not necessary.