Feature Engineering Techniques in Machine Learning
Hey all I will just explain what are all the techniques available for doing feature engineering in machine learning. In this post only explain the types of feature engineering and where it will be useful. The working guidelines and more detail of the each technique will be cover in next sub-sequence posts. What is meant by Feature? In a given data set, the attribute or variable is called as feature, that makes more sense in the context of a problem.If a feature has no impact on the problem, it is not part of the problem. For example, In computer vision, an image is an observation, but a feature could be a line in the image. In natural language processing, a document or a tweet could be an observation, and a phrase or word count could be a feature. In speech recognition, an utterance could be an observation, but a feature might be a single word or phoneme. What is feature Engineering ? Feature engineering is the process of transforming raw data into features that better repres...