Data visualization for Machine Learning
These Revision Notes describe graphs used for data visualization in Machine Learning
Data cleansing and preparation for modeling
Understanding data, cleansing data and dataset generation are important first steps in exploratory data analysis. Every other phase in the Machine Learning process relies on the data being cleaned and prepared. This Study Guide starts with statistical techniques used to help understand the data. Once data is understood it has to be cleaned up so…
Feature Engineering for Machine Learning
Feature Engineering is the process of creating new features from the original ones to make the prediction power of the chosen algorithm more powerful. This article explains the concepts of Feature Engineering and the techniques to use for Machine Learning.
