How to Perform Feature Scaling in Machine Learning

Feature scaling is one of the important step in data pre-processing. Scaling refers to converting the original form of data to another form of data within a certain range. Many machine learning models perform well when the input data are scaled to the standard range

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How to Handle Null Values in Pandas

Null values in dataset are the empty field represented as NaN(Not a Number). Null value do not mean zero value, actually it is an empty field. Datasets that are available for preparing machine learning model may contain some null values in it.

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Feature Selection Methods in Machine Learning

Feature selection is the process of reducing number of input features when developing a machine learning model. It is done because it reduces the computational cost of the model and to improve the performance of the model. Features that have high correlation with output variable is selected for training the model.

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