APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Scikit-Learn library used to deal with
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Graphical representation of data.
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Datasets reshaping and pivoting
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Numerical Python is linear algebra and matrix calculations produced in Python.
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Machine learning Functions
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graphical representation of data.
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Explanation:
Detailed explanation-1: -Scikit-learn (Sklearn) is the most useful and robust library for machine learning in Python. It provides a selection of efficient tools for machine learning and statistical modeling including classification, regression, clustering and dimensionality reduction via a consistence interface in Python.
Detailed explanation-2: -ELI5 is another visualisation library that is useful for debugging machine learning models and explaining the predictions they have produced. It works with the most common python machine learning libraries including scikit-learn, XGBoost and Keras.
Detailed explanation-3: -One such method is the LabelEncoder() method.
Detailed explanation-4: -transform(), and . fit transform() methods.
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