Browsed by
Tag: data preprocessing

Missing Features: A challenge in data preparation

Missing Features: A challenge in data preparation

What is Missing Features Problem? The principle of machine learning and AI based application is “Garbage in-garbage out”. Hence, data cleaning and Exploratory Data Analysis are the key steps of data preparation phase. In the real world, the data comes with noise. The noise may include many things such as incorrect data, unnecessary extra data, missing values, missing attributes/features. Among st them, it is difficult to handle missing features problem. Missing features is one of the most common problems that…

Read More Read More

Enjoy this blog? Please spread the word :)