Feature Engineering
"Warm Greetings from 360DigiTMG. This Short informative video is about Feature Engineering.

Feature Engineering on numeric data: find a better way of representing the numeric variable in the model

Feature Engineering on Categorical data:Transforming each categorical attribute into a numeric representation

Feature Engineering on Text data:If we can use these contexts as features and feed them to our model then the model will be able to understand the sentence better

Feature Engineering on Image data: The process of taking raw data and extracting features that are useful for modeling

Feature Extraction:The process of transforming raw data into numerical features that can be processed while preserving the information in the original data set.

Feature Selection:The process of reducing the number of input variables when developing a predictive model.

Feaure Scaling: Method used to normalize the range of independent variables or features of data

Feature Transformation:Mathematical transformation in which we apply a mathematical formula to a particular column (feature) and transform the values

Feature Construction:Feature construction (also known as constructive induction or attribute discovery) enriches data by adding derived features.

Feature Engineering on Temporal Data:The concept of deriving features from the process of raw data"

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360DigiTMG is a 9-year-old training & consulting organization led by stalwarts of the industry who are alumnus of premier institutions like the Indian Institute of Technology, Indian Institute of Management and Indian School of Business. 360DigiTMG since its inception has been the forerunner in the space of management and niche programs that aid in up-skilling and cross skilling executives across various levels and domains. 360DigiTMG has been conducting training programs across the globe for corporate and individuals alike.
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