Tag Archives: feature selection

Information Gain based Feature Selection in Python for Machine Learning Models

There are various techniques for feature selection for a classification or regression ML models. There is a category of techniques founded on information theory. The particular technique under discussion is based on information gain and belongs to the same category. … Continue reading

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Feature Selection with Information Theory Based Techniques in Python.

Feature selection is the process of selection a subset of features most relevant from a given set of features for a supervised machine learning problem. There are many techniques for feature selection. in this post we will use 4 information … Continue reading

Posted in Data Science, Machine Learning, Python | Tagged , | 1 Comment