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Explore Machine Learning with Python: Become familiar with prominent Python artificial intelligence libraries such as sci-kit-learn and TensorFlow. Begin by employing algorithms for supervised learning such as linear regression , logistic regression, decisiontrees, and supportvectormachines.
Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets. Key topics include: Supervised Learning Understanding algorithms such as linear regression, decisiontrees, and supportvectormachines, and their applications in Big Data.
Luckily, nothing too complicated is needed, as Tableau is user-friendly while matplotlib is the popular Python library for data visualization. Core Machine Learning Algorithms Core machine learning algorithms remain foundational for data science workflows.
Machine Learning Supervised Learning includes algorithms like linear regression, decisiontrees, and supportvectormachines. Scikit-Learn: A versatile library for Machine Learning in Python that offers simple and efficient data mining and analysis tools.
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