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ENGLISH SQUAD UNIT 1B LEARNING OUTCOME 1.2 Writes basic texts that include information about occupations and daily routines. GENERAL IDENTIFICATION DATA Initial Interaction in English Submodule: Date:
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Machine learning in Python refers to the use of Python programming language and its libraries to develop algorithms that enable computers to learn from and make predictions or decisions based on data.
There is no specific filing requirement for machine learning in Python; this question may refer to the use of machine learning models in regulatory filings or compliance reporting in certain industries.
Filling out machine learning in Python typically involves writing code to implement machine learning algorithms using libraries like scikit-learn, TensorFlow, or PyTorch, and preprocessing data as needed.
The purpose of machine learning in Python is to analyze large datasets, recognize patterns, make predictions, and automate decision-making processes in a wide range of applications.
Information that may need to be reported could include model performance metrics, data sources, validation results, and compliance with regulations, depending on the specific use case.
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